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Contemporary
theories of cultural
evolution
By Stefan
Linquist
To appear in Ashgate
Series in Evolutionary Thought: The Evolution of Culture,
Ed. Stefan Linquist. Ashgate Press.
Sections
1. Introduction
2. Theoretical
Background.
3. The
Phylogenetic Approach to Cultural Evolution.
4. Memetics.
5. Dual
lnhertiance Theory and Niche Construction.
6. Psychological
mechanisms.
7. Culture
in Non-human Animals.
8. Bibliography.
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1. Introduction
Recent
decades have seen a renaissance in the study of
culture from an evolutionary perspective. Since the early 1970s at
least four
theoretical frameworks have emerged that apply evolutionary concepts
and models
to cultural phenomena. This family of theories bears little resemblance
to
earlier, teleological accounts of cultural evolution that originated
with
Herbert Spencer and flourished during the late 19th and
early 20th
centuries. Gone is the notion that societies can be ranked on a scale
from “primitive”
to “advanced” or the idea that cultural evolution requires
technological or
moral progress. Instead, contemporary accounts of cultural evolution
are an
extension of the same Darwinian tradition that informs the biological
sciences.
At the heart of this tradition are two principles that transformed
prior
conceptions about the nature of biological diversity. The first
principle
states that all earthly life forms share a common ancestor and are
thereby
related by descent. This insight gave birth to a new way of thinking
about
organisms and their parts. After Darwin,
species were no longer seen as immutable types but instead as
interbreeding
lineages whose features are continually reshaped by changing
environments. The
second principle states that adaptiveness (i.e. the functional
suitability of a
species to its environment) arises automatically out of the
inter-generational
reoccurrence of variation, heritability and differential fitness. This
is Darwin’s
principle of
natural selection.
Just as
these two principles have revolutionized the study of biological
diversity they
are now having a similar impact on the study of culture. Recent
Darwinian
approaches to culture endorse (to varying degrees) the following two
versions
of these principles:
1)
The
principle of cultural descent: All human cultures share a common
ancestor and
are related by descent. Just as certain genetic and morphological
structures
are preserved among related organisms over successive generations,
certain
cultural traditions (e.g. beliefs, values, skills and tools) are
preserved with
fairly high fidelity as they are socially transmitted from individual
to
individual.
2)
The
principle of cultural selection: Cultures adapt to local ecological and
social
conditions by a process of variation, heritability and differential
fitness
that is akin to natural selection.
Although these principles
constitute the core assumptions of
contemporary Darwinian approaches to culture, each member in this
family places
a unique spin on their meaning and significance. The phylogenetic
approach
(Chapter 2) prioritizes the principle of cultural descent, applying to
cultural
groups the same methods used in reconstructing ancestral relationships
among
species. Meme theory (Chapter 3) places greater emphasis on the
principle of
cultural selection, viewing individual concepts or “memes” as gene-like
replicators that compete for control over human thought and behaviour.
Dual
inheritance theory (Chapter 4) views culture as a second inheritance
system
that interacts with genetic evolution. Finally, niche construction
theory (Chapter
4) explores the ways that humans use culture to modify and adapt to
their
environments.
Proponents
of these four approaches are engaged in ongoing debates over a set of
key issues.
For example, what are the units of cultural evolution? To what extent
is cultural
evolution constrained by genetic evolution? Is culture transmitted in
fairly
cohesive ‘chunks’ or are individual beliefs, norms, skills, etc.
transmitted
independently of one another? To what extent is culture transmitted
horizontally (from individual to unrelated individual) and what does
this imply
about the biological cost and benefits of culture? Such questions are
internal
to the Darwinian tradition insofar as they accept the two central
principles of
cultural descent and cultural selection (although they sometimes
disagree over
the details). Many of the articles contained in this volume are
concerned with just
these sorts of internal questions.
Another set
of external challenges question one or both of these principles. For
example, a
standard objection to the principle of cultural descent argues that
cultural
transmission is such a low fidelity process that, unlike genes or
traits, there
is no stable cultural entity that can be identified as a unit of
evolutionary
change. Another objection, directed more at the principle of cultural
selection, states that concepts, beliefs and other cultural phenomena
do not
undergo variation and differential selection. Debates over these
external
challenges play out in different ways depending on which of the four
perspectives one is considering (see below).
In addition
to these internal and external challenges, Darwinian approaches to
culture
encounter a third set of boundary issues concerning their relationship
to
neighboring disciplines. One such issue is whether evolutionary
accounts of
cultural change conflict with non-Darwinian explanations offered by
historians and
anthropologists. It is often assumed that the Darwinian approach to
culture undermines
the standard model of explanation embraced within the social sciences
(Barkow,
Cosmides and Tooby, 1992). This assumption has led some social
scientists to
adopt a defensive stance towards theories of cultural evolution,
focusing more
on their limitations than on ways that those theories might be
improved. However,
it is often not clear whether Darwinian explanations do in fact
conflict with
historical or anthropological accounts of cultural change. This is
issue is
addressed in the theoretical background section of this introduction
and in
Chapter 1 (see also Laland and Brown, 2002; Mesoudi, Whiten and Laland,
2006).
Other
boundary issues arise at the interface between cultural evolution and
empirical
psychology. Typically, cultural evolutionists operate with a fairly
thin
description of the human mind. For example, a key theoretical concept
in
memetics is the idea of a “meme filter”. This psychological mechanism
supposedly favors certain cultural variants over others and, in so
doing,
imposes a kind of selection pressure on memes. But it is not clear how
this
theoretical construct might be cashed out in psychological terms. This
issue is
discussed in more detail in what follows in the context of meme theory
(see
chapter 3 and discussion below). Another boundary dispute between
cultural
evolution and empirical psychology concerns the extent to which culture
is
innately specified. Some critics of the Darwinian approach argue that
it cannot
explain the tendency for cultural representations to remain stable over
successive generations. In particular, this objection has been raised
by evolutionary
psychologists who argue that if culture was transmitted primarily by
social
learning, as proponents of the Darwinian approach assume, then cultural
traditions would rapidly degrade (Atran, Chapter 3; Sperber and
Hirshfeld,
Chpater 5). Thus, evolutionary psychologists offer an alternative
perspective
that views culture as the product of an innate psychological
architecture. Such
boundary disputes between cultural evolution and empirical psychology
are
discussed in Chapter 5 and in what follows.
Finally,
many
of the theories discussed in this volume push the boundaries of our
traditional
concept of culture. It is often assumed that humans are a uniquely
cultural
species and, indeed, that it is culture which makes us ‘special’. This
view is
challenged by the view that culture is simply socially transmitted
information
which, it turns out, is found in many species besides our own. Hence,
another
sort of boundary dispute concerns whether human culture is unique, and
the
extent to which it obeys the same evolutionary principles as culture in
non-human animals. These issues are addressed in Chapter 6 and below.
Each
section of this introduction offers a fairly self contained summary of
the six
chapters in this volume. As with any collection of its breadth, a
considerable
amount of hand wringing went into the selection process. Many
significant
publications had to be passed over because they are too technical for
an
introductory audience. Others were excluded simply because they already
appear
in existing collections. However the articles that do appear in this
volume
offer, I think, a fairly balanced and comprehensive representation of
recent
trends in the study of cultural evolution.
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2. Theoretical Background.
Darwinian theories of cultural evolution
are relative
newcomers to the intellectual landscape and their reception, especially
within
the social sciences, hasn’t been overly enthusiastic. One reason why
Darwinian theories
of culture have encountered resistance is because of their association
with
previous, unsophisticated theories of human nature. The teleological
theories
of Spencer and his followers were not only misguided, they easily lent
themselves to racist and imperialistic doctrines. More recently, the
Sociobiology
movement of the early 1970s further contributed to Darwinism’s bad
name. Sociobiologists
attempted to explain a broad spectrum of human behaviour as evolving by
natural
selection to promote inclusive (genetic) fitness. Everything from human
mating
preferences to the determinants of social status have been interpreted
by sociobiologists
as serving individual genetic interests. This emphasis on
cross-cultural universality
and the related idea that genes keep culture on a “short leash” did not
sit
well with cultural anthropologists, many of whom were familiar with the
diverse
forms that human culture can take and with the central role of social
learning in
human development. (See Laland and
Brown, 2002 for an excellent discussion of the Sociobiology movement
and its
influences on evolutionary approaches to culture).
Proponents
of modern Darwinian approaches to culture have therefore made an effort
to
distance themselves from the core assumptions Sociobiology. This
concern is
reflected in several of the articles appearing in Chapter 1 of this
volume. For
example, F.T Cloak (1975) emphasizes that a theory of cultural
evolution must
take into account the influence of learning constraints and social
institutions
on the direction of cultural change. Cloak also appears to have been
the first
to recognize that since cultural information is capable of rapid
inter-organismic transmission (spreading, he notes, like a virus),
culture will
sometimes evolve in ways that are irrelevant or even destructive to the
individuals
who propagate them (the “virus-like” nature of culture was later seized
upon
and publicized by Richard Dawkins, and now forms one of the central
tenets of
meme theory). Although some of these principles have been developed
considerably
since the publication of Cloak’s article, many of his pioneering ideas
remain worthy
of attention. The articles by Luigi Cavalli-Sforsa and William Durham
advance a
similar line of argument: Darwinian theories of cultural evolution
address the
origin and causes of cultural diversity – they in no way ignore it—and
doing so
requires making a distinction between cultural and genetic evolution.
Written
only a decade or so after Cloak’s influential article, these papers
document
the considerable amount of development that Darwinian theories of
culture
underwent during this productive period.
The fourth
article in this chapter offers a more skeptical assessment of recent
theories
of cultural evolution. Historian Joseph Fracchia and well known
evolutionary
biologist Richard Lewontin argue that theories of cultural evolution
lack the
resources for explaining cultural change. These authors assume that
evolutionary explanations of culture are either selectionist in nature
(that
is, they explain cultural change in terms of the principle of cultural
selection) or else they are indistinguishable from standard historical
explanations. The problem with selectionist explanations of culture,
they argue,
is that they adopt a “variational scheme” – cultural change is
attributed to variation
and differential fitness among individual cultural variants. Fracchia
and
Lewontin note that many cultural changes do not follow this pattern of
blind
variation and selection. For example,
historians
sometimes appeal to things like a sense of national pride or cultural
ethos when
explaining why events unfold in particular ways and not others.
Fracchia and
Lewonton’s central argument is that these sorts of explanations, which
appeal
to shared cultural representations and communal goals, cannot be
reduced to the
variation and differential spread of ideas.
A detailed
treatment of Fraccia and Lewontin’s argument is beyond the scope of
this
introduction. In fact, most of the papers contained in this volume
either
expand on features this argument or attempt to demonstrate why it is
flawed. (Of
particular interest are the articles contained in Chapter 2 where the
phylogenetic
analysis of culture is defended. These papers demonstrate that not all
evolutionary explanations of culture are selectionist in character.) Rather than attempting to survey all of the
issues raised by the articles appearing in this theoretical background
chapter,
the remainder of this section focuses on three common issues: (1) how
should “cultural
evolution” be defined? (2) what are the units of cultural evolution?
and (3)
how is cultural selection akin to natural selection?
A brief review of these general questions will
set the stage for more specific topics addressed in following chapters.
1.1
Defining “cultural evolution”.
Many
researchers consider it important at the outset of an investigation to
precisely
define their subject matter. This is a challenging task in the study of
cultural evolution because both “culture” and “evolution” are vague and
ambiguous terms. The concept of culture operative within the social
sciences is
what philosophers would call a ‘family resemblance’ concept: it refers
to a
broad range of practices, traditions, artifacts and beliefs that
exhibit some
overlapping similarities, but which do not share an essential set of
defining
characteristics. Some cultural phenomena, like novel works of art,
probably do
not lend themselves to an evolutionary analysis. While other cultural
practices,
like tool making or language, are especially good candidates for an
evolutionary
investigation. The term “evolution” is problematic for a different
reason. In
common parlance, “evolution” often connotes progressive change towards
some end
or goal. Biologists have made an effort to strip the term of such
teleological
implications. However, the standard textbook definition of evolution as
a change in gene frequencies over successive
generations is obviously too narrow for theories of cultural
evolution, and
arguably too narrow for biology. An alternative definition of
“evolution” as descent with modification, though
vague,
is perhaps better suited to current purposes. This phrase captures what
is
essential to most of the objects that evolutionary theorists study:
these are
entities (in a loose sense of the term) that preserve many of their
features as
they are transmitted from individual to individual, but which undergo
slight
modifications in structure that are retained and become salient over
large time
scales. Importantly, evolution is not to be confused with the Darwinian
mechanism
of natural or cultural selection. Selection – which involves variation,
heritability and differential fitness —is just one of several
mechanisms that
can drive the evolutionary process.
Ideally, it
would be possible to specify from the outset which sorts of cultural
phenomena
admit of an evolutionary analysis and which ones do not. However, as
Cavalla-Sforza
notes (1986), attempting to define the scope of evolutionary theories
of
culture would be premature at this early stage of their development. A
more
productive strategy is to begin with a vague definition of culture that
captures
a range of cultural phenomena that lend themselves to an evolutionary
analysis.
This definition can then be refined as the discipline matures. To this
end, Cavalli-Sforza
defines culture as the range of phenomena that involve learning and
transmission. He clarifies this working definition to some extent by
providing
prototypical examples of culture found in both human and non-human
organisms.
F.T Cloak
(1978) points out that “culture” is used ambiguously to refer both to
the set of
internal mental instructions that guide behaviour (“i-culture,” as he
calls it)
and also to the set of material artifacts, social relations and
institutions
that reside outside the individual mind (or “m-culture”). These two
forms of
culture interact in several ways. I-culture both propagates itself from
individual to individual and tends to give rise to m-culture. In turn,
m-culture influences the development of both i-culture and on other
m-cultural
artifacts. However, Cloak argues that, from an evolutionary
perspective, i-culture
is more fundamental than m-culture. Although i-culture is capable of
replicating itself without m-culture, he claims, m-culture requires
i-culture
to persist indefinitely. For example, a clay pot will degrade and
disappear
over time, but the instructions for making pots can survive
indefinitely. Cloak
concludes that m-culture will tend to evolve in ways that promote the
spread
and maintenance of i-culture, but not vise versa. Thus, in order to
identify the
evolved function of a tool or piece of pottery it is necessary, on this
view,
to determine how these artifacts contribute to the maintenance and
spread of the
instructions that code for their production. On this view, artifacts
have the
evolved function of promoting the instructions that generate them in
the same
way that, according to some evolutionary biologists, phenotypic traits
have the
function of propagating the genes that contribute to their development
(Williams, 1966; Dawkins, 1978).
In drawing
this distinction between i-culture and m-culture, Cloak appears to be
searching
for something within the domain of culture that corresponds to the
genotype/phenotype distinction in biology. He also accepts uncritically
the
view that packets of information and not their physical manifestations
are the
‘fundamental units’ of evolution. According to this line of reasoning,
an
entity must be capable of surviving indefinitely in order to qualify as
a unit
of evolution (Williams, 1966). Information encoded either in genes or
mental
instructions are supposedly ‘immortal’ while the physical products of
information, like phenotypic traits or material artifacts, are
considered
ephemeral.
This
argument touches on a controversial subject within evolutionary biology
that is
too involved to discuss here (see Sterelny and Griffiths, 1999).
Restricting
ourselves to cultural phenomena, however, the claim that all forms of
i-culture
can persist indefinitely without m-cultural manifestations is mistaken.
It is
hard to imagine how one would convey certain tool making strategies or
pottery
techniques without constructing one of these artifacts. Nor, for that
matter, is
it likely that someone could glean the requisite craftsmanship from
just a
close inspection of the finished products. Rather, it appears that both
i-culture
and m-culture play essential, reinforcing roles in the maintenance and
propagation
of certain traditions. Contrary to Cloak’s claim, neither type of
culture necessarily
evolves to promote the propagation and maintenance of the other.
1.2
The units of cultural evolution.
The previous
subsection hit on a question that is often raised in the context of
evolutionary
theories of culture: what are the objects or ‘units’ that evolve by
cultural
evolution? As Cavalli-Sforza notes, it is extremely difficult to
identify a cultural
unit of transmissible information that corresponds to the biologist’s
favorite
unit of evolution: the gene. What cultural evolutionists are apparently
looking
for is something that is both preserved with high fidelity across
generations
and which is capable of undergoing something akin to genetic mutations.
Most
often, cultural evolutionists will speak of ideas or “memes” (as
Richard Dawkins
has dubbed them) as the units of cultural evolution. However, we have
already
seen that mental states are not the only sorts of cultural entities
that
undergo descent with modification – cultural artifacts evolve as well.
Moreover, it is often difficult in practice to tease apart the
respective roles
that material artifacts and ideas or memes play in their continued
maintenance
and propagation. Some cultural evolutionists adopt the more neutral
term
“cultural variant” to describe the vast range of entities capable of
undergoing
cultural evolution (Boyd and Richerson, 1985). It remains to be seen
whether this
concept can be further refined to provide a cultural analogue to the
evolutionary gene, or, indeed, whether identifying such an entity is
important
for developing a theory of cultural evolution (see Chapter 3 and
discussion of
memetics below). For purposes of clarity, throughout this introduction
the term
“tradition” will be used when speaking in general terms about material
objects,
mental representations or social practices that are structured
primarily by culturally
transmitted information. The word “trait” will be reserved for objects
representations or social practices that are influenced primarily by
biologically (e.g. genetically) transmitted information. Note however
that
these are not exclusive categories. The development of many behavioural
dispositions, for example, involves both genetically and culturally
transmitted
information.
1.3
Cultural transmission and cultural selection.
There are some obvious differences between the
ways that
biological and cultural information gets passed on. Since traits are
inherited genetically
they are restricted to a vertical mode
of transmission (from parent to offspring). This constraint limits the
rate at
which traits can evolve. Cultural traditions, by contrast, are
potentially also
transmitted horizontally (from
individual to unrelated individual in the same generation) or obliquely (from an individual in the n
generation to unrelated individual in the n+1 generation). These
additional
transmission pathways influence the rates at which culture evolves. As
Cavalli-Sforza explains (Chapter 1), cultural traditions evolve most
rapidly
when they are transmitted horizontally from one-to-many individuals.
However,
horizontal transmission can also retard the rate of cultural evolution,
such as
when a tradition is transmitted non-vertically from many-to-one.
Traditions
that are enforced by peer pressure (e.g. etiquette norms) are likely to
follow
this pattern. The fact that traditions can spread horizontally and
obliquely
also allows for the evolution of maladaptive behaviours. A behaviour is
maladaptive when it decreases the reproductive fitness of its bearer in
comparison to some alternative course of action. Enforcement of the
one-child
policy in some cultures is an example of a horizontally transmitted
tradition
with maladaptive consequences.
Such talk
of traditions that are favored by one’s cultural circumstances but
maladaptive
at the biological level can generate confusion, especially when it
comes to
distinguishing cultural transmission from cultural selection. In
biology,
heritability (or parent-offspring transmission) is just one component
of
natural selection. For natural selection to occur there must also be
variation
and differential fitness among traits. However, in cultural evolution
theory the
distinction between transmission and selection is often blurred.
Consider a
tradition that spreads rapidly through a population because of its
obvious utility,
such as the controlled use of fire. Should we say that this tradition
is
favored by cultural selection? Or, is
the increase in popularity due to what some theorists call a
“transmission
bias”? What, if anything is the
difference between these two characterizations?
To make matters more complicated, a tradition like
this one will
undoubtedly enhance the reproductive fitness of those who adopt it.
Assuming
that fire making techniques are passed on from parent to offspring,
their
increase in frequency will therefore be driven to some extent by
natural selection
in addition to cultural factors.
A certain
amount of progress could be achieved in this domain if cultural
evolution
theorists could agree on a single conceptual framework for categorizing
cultural phenomena. Unfortunately, different theorists currently use
“transmission”, “cultural selection”, and “learning bias” to describe
different
sorts of processes. Perhaps the simplest option is to abandon the
analogy
between cultural and natural selection and view culture strictly as a
mechanism
for transmitting information (Boyd and Richerson, 1985). On this view,
selection occurs only at the biological level, namely, when a behaviour
(influenced
either by culturally or genetically inherited information, or both)
impacts the
reproductive output of its bearer. In
some cases selection will be the primary force driving the spread of a
behaviour, such as when an adaptive tradition is transmitted
exclusively from
parent to offspring. In other cases selection will be overwhelmed by
cultural
factors, such as when a maladaptive tradition evolves rapidly by
horizontal
transmission. From this perspective it makes no sense to describe a
tradition
as being culturally selected. This notion conflates the factors that
influence
the rate and direction of inheritance with the process of differential
reproduction.
However,
many theorists prefer to view cultural selection as a separate,
analogous process
to natural selection. William Durham (1990) offers one of clearest
statements of this perspective. He begins by distinguishing two general
“forces”
that impact cultural evolution. Non-conveyance
forces introduce cultural variation into a population. Included in
this
list are innovation, diffusion, migration and chance effects. Conveyance
forces affect the direction and rate of cultural evolution. Of
these latter
forces Durham
identifies three different types which supposedly vary in strength. The
first
type of conveyance force is what Durham
calls “transmission.” He offers no general description of this process,
providing
instead just a single example: all things being equal, the rate at
which a
tradition spreads through a population increases as its frequency
increases. It
is not entirely clear why this process qualifies as a form of
transmission as
opposed to the cultural analogue of what is known in biology as
frequency-dependent
selection. Nor is it obvious what else would qualify a transmission
force for Durham.
For instance,
Cavalli-Sforza notes that in societies where children have little
exposure to
non-family members during the sensitive period when certain skills and
values
are acquired, the amount of horizontal transmission is minimized and
culture
evolves relatively slowly. We are left wondering whether such social
influences
qualify as transmission forces or, alternatively, as a form of cultural
selection on Durham’s
view. The second kind of conveyance force is natural selection, or, the
dissemination of a tradition by the differential reproduction of its
bearers. Durham
views both
transmission and natural selection as having only minor influences on
cultural
evolution. The third and supposedly most powerful conveyance force
according to
Durham
is
cultural selection. Included in this category are the decision rules
and values
that affect individuals’ choices between alternative cultural
traditions. Durham
notes that these
values can be either “primary,” arising from genetically encoded
preferences,
or “secondary,” themselves inherited by cultural transmission. He
assumes that most
of the decision rules and values that exert a selective force on
culture will
be of the secondary variety –that is, they are themselves culturally
inherited traditions—but Durham admits
that this is little more than a hunch.
This
is not the place for a detailed analysis of the distinction between
cultural
transmission and cultural selection. It is noteworthy that one of the
primary
externalist objections to Darwinian theories of culture states that
this
distinction cannot be drawn. Critics like Fracchia and Lewontin (1999)
argue
that the analogy between cultural and natural selection is deeply
misleading:
since cultural traits do not undergo blind variation and selection they
do undergo
selection in the strict Darwinian sense. Whether the idea of cultural
selection
can be made tenable remains a hotly debated question that will reemerge
in our
discussion of memetics (Chapter 3). In the mean time, it remains an
interesting
question whether it is possible to develop an evolutionary theory of
culture
without endorsing the principle of cultural selection. The tradition
that comes
the closest to such an approach is the phylogenetic approach, which
will now be
discussed in some detail.
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3: The
phylogenetic approach to cultural evolution.
Most people are familiar with the phyogenetic tree diagrams that
biologists use to represent relationships of descent among species.
These cladograms usually follow a branching
pattern with the most ancestral species situated at the base of the
tree and
its extant descendants located at the tips. Branch points in a
cladogram represent
likely speciation events where one ‘parent’ species has diverged into
two
‘daughters’. In biology, cladograms play a central role in testing
evolutionary
hypotheses as well as in the classification of species. Recently, this
technique has been employed as a tool for reconstructing human cultural
evolution. Fundamental to this approach is the assumption that most
cultural
traditions follow a similar branching pattern to species. Presumably,
when a
human group diverges into two sub-populations each of the daughters
will
initially share most their traditions, having recently inherited them
from a
common ancestor. But as those populations go their separate ways they
will each
adopt unique traditions and become increasingly distinct over time.
Those novel
or derived traditions are in turn
passed on to the respective
daughter populations. Thus, by comparing the number of shared derived
traditions among a group of cultures it should be possible to
reconstruct their
ancestry. All things being equal, the greater the number of shared
derived traditions
among two given cultures, the more closely they are related.
However,
when
conducting this sort of analysis it is important to distinguish two
different
sources of cultural similarity. Some shared traditions are inherited
from a
common ancestor while others are independently invented by a process
analogous
to convergent evolution. Only shared derived traditions carry
information about
ancestral relationships; convergent traditions are a source of noise
that can
generate overestimates of the relatedness among cultures. For example,
indigenous cultures who lived in the Chatham Islands shared numerous
technological similarities with early inhabitants of northwestern Tasmania
(Sutton et al, 1982). Both groups used bone
harpoons, awls, watercraft and flake stone tools that were suited to
their coastal
lifestyles. Based on such similarities it appears that these
populations shared
a direct cultural ancestor from whom their technologies were inherited.
However, Douglas Sutton and his colleagues argue that a careful
analysis of the
archeological record suggests that these technologies were
independently
invented by each population (ibid). Although this is a controversial
example,
it illustrates the nature of the difficulties associated with the
construction
of cultural phylogenies. To avoid mistaking cases of cultural
convergence for cultural
inheritance, phylogeneticists draw upon numerous sources of information
(when
available) in constructing cultural phylogenies including linguistic,
archeological and genetic data (Cavalli-Sforza et al,
1988). However, different types of information can sometimes
point towards different phylogenetic trees. One of the main
methodological
debates in this domain is over which traits and traditions render the
most accurate
cultural phylogeny.
Once a
cultural
cladogram has been constructed for a particular group it is extremely
useful for
evaluating functional hypotheses. When two or more populations
inhabiting
similar environments converge on the same tradition, as appears to be
the case
among indigenous Chatham Islanders and Tasmanians, this can suggest
that those
shared traditions serve some function in the local environments. Ruth
Mace and
Mark Pagel (1994) illustrate how the phylogenetic approach has been
used in
this way to test whether arid environments select for camel herding
among East
African populations. These authors convincingly argue that the
phylogenetic
approach is superior to alternative comparative methods used by
anthropologists. Specifically, they argue that the phylogenetic
approach is uniquely
suited to avoiding “Galton’s Problem”. Francis
Galton, nephew of Charles Darwin, was the first to point out that there
is a
danger lurking in the inference from cultural similarity to functional
significance. Cultural similarities can be due either to functional
convergence
or alternatively to common descent. Notice that Galton’s Problem arises
in the
evaluation of functional hypotheses. It is the logical converse of the
problem
that researchers encounter when constructing cultural phylogenies. When
constructing
a cultural phylogeny, cases of convergence are a potential source of
noise because
they masquerade as shared derived traditions. However, when testing a
functional hypothesis, instances of cultural convergence carry the
desired
signal while similarities due to common descent are a potential source
of false
positives.
Anthropologists
who employ the comparative method have developed various sampling
procedures in
an effort to overcome Galton’s Problem. For example, Murdock and White
(1969)
carefully selected a sample of 186 geographically disparate populations
exhibiting minimal amounts of linguistic and cultural overlap. Mace and
Pagel
object that this approach fails to control for similarities that have a
“deep”
phylogenetic ancestry. Also, this technique cannot be applied at a fine
level
of grain to closely related cultures. An alternative sampling method
relies on
statistical procedures to identify the portions of cultural variance
that are
thought to be due to common descent (e.g. Dow, 2007). Mace and Pagel
object
that this alternative is highly sensitive to the individual
researcher’s assumptions
about how sets of traditions tend to cluster. They go on to argue that
the phylogenetic
approach is superior to these alternatives because of its signal
emphasis on identifying
shared derived traditions and distinguishing them from cases of
convergence. Moreover,
Mace and Pagel argue that the phylogenetic approach can potentially be
applied
to any group of cultures whose ancestry can be reconstructed,
regardless of their
geography or degree or relatedness.
In their
list of the “pleasures” associated with cultural phylogenetics, Russell
Gray,
Simon Greenhill and Robert Ross (2007) identify several additional
applications
of this technique that go beyond the testing of functional hypotheses.
These
authors cite studies where cultural cladograms are used to test
theories about
the homeland or origin of a cultural group, to trace population
movements and
expansions, to test theories about the rates of cultural change, and to
date
divergence events. In most of these examples cultural cladograms are
based in linguistic
evidence. The key assumption here is that linguistic data provides a
fairly
reliable picture cultural evolution because grammatical mutations are
preserved
with high fidelity and passed on primarily in a vertical direction,
from parent
to daughter populations. Therefore, linguistic data is regarded as a
fairly
pure source of information about patterns of cultural descent. However, Gray et al note that
drawing inferences about a culture’s homeland, its movements,
divergence events, etc., often requires correlating linguistic
cladograms with
other forms of evidence including genetic, archeological and
anthropological
data (see Cavalli-Sforza et al, 1988).
Although
phylogenetic
techniques appear more rigorous than alternative comparative approaches
to
culture, some anthropologists and evolutionary biologists object that
this
approach relies on a faulty analogy between cultural groups and
species. Whereas
species tend to remain reproductively isolated once they have diverged,
it is
argued that a considerable amount of ‘hybridization’ occurs among
cultures. Human
populations tend to borrow useful technologies from their neighbors
when they
come into contact. In addition, when formerly isolated populations
merge or immigrate
to a common location there tends to be a mixing of languages and social
practices. These problems are exacerbated by the high degree of
mobility and
sociality characteristic of our species. For example, Moore (1994)
cites a case study by
Thomason and Kauffmann (1988) where large sectors of phonetic and
grammatical information
have been horizontally transmitted among language groups. If such
cultural and
linguistic admixture is common among human populations, then, Moore argues, it
is impossible to construct a
reliable cultural cladogram for groups that have come into frequent
contact.
For many prehistoric populations, Moore
adds, the extent of their interactions with neighboring groups is
unknowable. Therefore
he thinks that the phylogenetic approach should be applied only with
the utmost
caution and in conjunction with alternative approaches.
A second
respect in which cultures arguably differ from species is in their
rates of
change. Moore
argues
that unlike the genetic and phenotypic traits used to construct species
phylogenies, which remain relatively stable over time, cultural
traditions are
highly plastic and adaptable to local environments. He cites an example
of a
group of North American Indians who adopted radically different modes
of
subsistence as they migrated across the central plains. If a
population’s core
traditions undergo such dramatic changes each time the environment
changes, this
effectively erases the historical signal on which cultural cladograms
are based.
Cultural
phylogeneticists acknowledge that a certain amount of hybridization
occurs as a
result of inter-group contact and that populations sometimes undergo
rapid adaptations
to new environments. However, it is argued on both theoretical and
empirical
grounds that the extent and frequency of these events are exaggerated
by
critics like Moore.
In an influential paper, Mace and Holden (2005) argue that cultural
hybridization events do not pose a significant threat to the
phylogenetic
approach. Drawing on the anthropological record, these authors note
that large
scale merging events tend occur only when a group is undergoing rapid
depopulation. For example, cultural merging occurred among North
American Indian
groups as a result of depopulation due to epidemics and armed conflicts
with 17th
Century Europeans. Mace and Holden also note that in cases where
populations
are expanding they tend to split and diverge rather than merge with
neighboring
groups. If splitting is the typical response to population growth and
merging
is usually associated with population decline, it is argued, then the
majority
of extant cultures will be the products of divergence events and
thereby
conform with a phylogenetic model. Mace and Holden further argue that
languages
cannot undergo rapid evolutionary change because this would make
inter-generational communication impossible. Thus, due to its inherent
conservatism, linguistic information is an especially reliable source
of data
for constructing cultural phylogenies. In support of this claim, Mace
and Holden
cite several studies documenting a high degree of overlap between
linguistic
and genetic phylogenies. Against this background of empirical evidence
the
results reported by Thompson and Kauffmann appear highly exceptional.
Mace and
Holden further note that if a reliable cultural cladogram can be
constructed
out of linguistic data, then evidence of horizontal transmission (e.g.
the
adoption of one culture’s traditions by another) can provide useful
information
about prehistoric contacts among groups.
Gray et al (2007) also take issue with
the alleged disanalogy between species and culture. The assumption that
only a
small amount of horizontal genetic transmission occurs among biological
lineages is, they argue, biologically naïve. In fact, a
considerable amount of
horizontal transfer is common among bacteria and also occurs on a large
scale
during such major transition events as the evolution of eukaryotes.
Biologists
have developed statistical techniques for constructing cladograms that
allow
for high rates of horizontal transmission, and Gray et al
propose that these techniques can be applied to cultural
systems as well. Thus, if the occurrence of horizontal transfer (even
fairly
large amounts of it) is not an impediment to the construction of
biological cladograms,
then it shouldn’t be regarded as a barrier to the construction of
cultural
phylogenies either.
Instead of
relying on theoretical arguments about the amount of horizontal
transfer or
cultural adaptation that may or may not occur among human populations,
Gray et al insist that these questions can
only be confronted empirically. As a way of framing the available
evidence these
authors present a multi-dimensional possibility-space that identifies
three
axes along which cultures might vary. The first axis, Rx, is the rate
at which vertically
transmitted traditions change, If Rx is extremely high (as suggested by
Moore’s
Plains Indians
example) then the historical signal will be lost and cultural
phylogenies are
impossible to reconstruct. However, Gray et
al cite several case studies suggesting that, especially in the
case of
language, Rx is within acceptable boundaries for conducting
phylogenetic
analyses. The second dimension, Rh, is the rate of horizontal transfer
of
traditions among populations. Provided that Rh is low for at least some
traditions, it should be possible to construct cultural cladograms that
accurately represent the histories of particular populations. This
condition
appears to hold for language and arguably for other cultural phenomena.
The final
dimension, C, is the extent to which cultural traditions come
“packaged”
together. In the limiting case of extreme atomism, where each tradition
follows
its own transmission trajectory and rate of change, researchers will be
unable
to generalize across cladograms. For example, a cladogram based on
linguistic
features will not resemble a cladogram based on tool dimensions or
pottery
design. Such a predicament would make it difficult to use phylogenetic
methods
for drawing certain historical inferences, such as the homeland of a
population
or the point at which two communities diverged, because such inferences
require
convergence among multiple sources of evidence. Gray et al
argue that in fact many cultural traditions are “packaged”
together into a cohesive unit, such as when they are functionally
related to
one another. However, even in the limiting case where C is low, it is
arguably not
impossible to apply the phylogenetic approach to individual traditions.
On this
view, particular traditions rather than cohesive cultural groups become
the
unit for phylogenetic analysis.
The
scenario just envisioned, where each cultural tradition follows its own
evolutionary trajectory, is not one that most cultural phylogeneticists
tend to
favor. Typically, the phylogenetic
approach to cultural evolution takes the cultural group (a population
of
individuals with a core set of traditions) as its focal unit of
analysis. The
idea that individual ideas are the focal unit of cultural evolution is
more
commonly associated with memetic approaches, to which we now turn.
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4: Memetics
To understand the central tenets of memetics as well
as the
reasons why this doctrine has attracted such a large and devoted
following it
helps to consider the context in which the meme concept was introduced.
Richard
Dawkins’ popular book The Selfish Gene
is best known for its defense of gene centrism. This is the theory that
individual
genes, not organisms or groups, are the primary units of biological
evolution. Central
to Dawkins’ view is his distinction between replicators and vehicles. A
replicator is any entity whose structure is reliably copied (and
therefore
preserved) over indefinitely many copying events. DNA, or more
precisely the
information encoded in a strand of DNA, is a prototypical replicator. A
vehicle
(or “interactor” as they are also called) is the entity that houses a
replicator and facilitates its transmission. Organisms are prototypical
vehicles. One of Dawkins’ central
arguments states that
only replicators and not their vehicles are candidates for evolutionary
change.
Following G.C. Williams (1966), Dawkins argues that in order to be a
candidate
for evolution an entity must enjoy a certain kind of immortality: it
must be
capable of surviving for indefinitely many generations. Replicators
have this
property by definition; vehicles by definition lack it. Therefore,
Dawkins
concludes, evolution occurs primarily at the level of the replicator or
gene.
An implication of this view is that our traditional way of thinking and
talking
about adaptation requires a subtle revision. We tend to speak of
adaptations as
having evolved to promote the survival and reproduction of the individual organisms who possess them.
Thus, the drive to feed, fight, flee or mate (or, “the four F’s” as
they are sometimes
called) are conventionally described as having evolved to help the organism obtain calories, defend
territories, avoid predators and so on. Strictly speaking, Dawkins
argues,
these claims are false. Adaptations cannot evolve to benefit organisms,
because
these vehicles exist for just a single life cycle. This is too short a
time for
cumulative evolution to occur. Instead, Dawkins proposed that adaptive
traits
evolve to benefit replicators, for example genes, because only they are
able to
accumulate and benefit from those adaptations through their continued
existence.
Dawkins and
other advocates of the gene’s eye view argue that much of evolutionary
biology
can be understood in terms of selection acting on genes (Williams,
1966; Dawkins,
1978, 1982). However, the final chapter of The
Selfish Gene contains an important qualification to this view. The
gene’s
eye perspective is limited, Dawkins claims, when it comes to explaining
large
components of human thought and behaviour. Although some of our basic
drives
are undoubtedly under genetic control, Dawkins argues that many
beliefs,
desires and actions run counter to our genetic interests. He thereby
distinguishes
himself from advocates of the Sociobiology movement who view the human
mind as
being on a “short genetic leash.” Instead, Dawkins proposes that most
human
actions are under the control of another sort of replicator. This is
the role
that Dawkins assigns to memes.
A meme
according
to Dawkins is a concept or idea that influences an individual’s actions
in ways
that promote the meme’s own replication. A catchy tune, a recipe, a
popular
phrase, even the concept of the meme itself promote self-perpetuating
behaviours like singing, cooking, speaking in certain ways, or even
writing about
memes. Not only are memes similar to genes in their “immortality”, it
also appears
that some memes compete with one another for brain space. There are
only so
many tunes you can hum or recipes that you can try. This arguably
imposes a type
of selection pressure favoring the most memorable or appealing memes
over those
that are less attractive or easily forgotten.
Just as
adopting
the gene’s eye perspective involves revising some commonsense views
about what
adaptations are for, so does the meme’s eye perspective require a shift
in
thinking about the ultimate purpose of our actions. We tend to
rationalize our
actions in terms of goals or beliefs supposedly emanating from deep
within our
psyches. From Dawkins’ perspective however, the ultimate explanation
for many
of our actions is that they are meme’s way of
replicating itself. The reason that we cherish certain beliefs, resist
some temptations
and fight for particular ideals is, on this view, because we are under
the grip
of some highly adapted memes. While critics of the meme idea sometimes
find this
view demoralizing, others consider it highly insightful and even
excitingly
contrarian. Indeed, the rise and spread of the meme concept is itself
one of
the strongest arguments in its favor.
In his
original
(1976) presentation of these ideas Dawkins argued that memes literally
evolve
by a Darwinian process of variation and selective retention. Although
gene
evolution and meme evolution occur in different media and at different
rates, he
claimed, they are fundamentally the same process. In his later writings
(1982)
Dawkins retreated to a weaker position, claiming that meme evolution is
merely analogous
to organic evolution. Daniel Dennett (1990) offers a meme’s eye
explanation
for Dawkins’ retraction. Dennett suggests that social scientists had
set up an aggressive
set of filters to weed out memes that appear even remotely
Sociobiological in
nature. To avoid knee jerk dismissals of his theory, Dennett
hypothesizes,
Dawkins weakened his view – without good reason – to something that
would
appear more congenial to these reactionary critics. Regardless of
whether this
is an accurate portrayal of events, Dennett’s defense of full-blooded
meme
theory warrants careful consideration.
There are
two steps in Dennett’s argument for the literal truth of meme evolution. First, he assumes that evolution occurs
whenever a population of entities satisfies the three conditions for
natural
selection: heredity, variation and differential fitness. Another way to
put this
point is that natural selection is a ‘substrate neutral’ process, it
occurs in
any physical medium (computers, immune systems, brains, biological
systems,
etc.) provided that these three conditions are satisfied. The second
premise
states that memes satisfy these conditions. Memes are heritable insofar
as they
are passed on intact (more or less) from brain to brain. Memes vary
from one
another, both in their content and in the actions that they proscribe.
Finally,
memes affect the phenotype in ways that impact their fitness, where
“fitness”
is understood in non-reproductive terms as a meme’s tendency to be more
or less
popular or acceptable. Dennett’s article (1990) proceeds to defend this
view
using a range of examples. Of these, Dennett’s discussion of the “faith
meme”
is perhaps the most compelling. The faith meme is the idea that some
beliefs should
be held simply on authority (e.g. religious authority) or “as a matter
of
faith” and can therefore not be subjected to rational scrutiny. Dennett
argues
that this is an extremely fit meme because it has effectively immunized
itself
against the influence of competing rationality memes.
A critic of
memetics might argue that this theory is merely a re-labeling of
commonsense
ideas. We are all familiar with the fact that some ideas become popular
while
others are lost to history. What additional insight does one gain by
calling these
ideas “memes” and describing this process in quasi-Darwinian terms?
In
responding to this challenge, Dennett
argues that the meme’s eye perspective has at least one explanatory
advantage
over competing commonsense accounts. He notes that a key feature of our
commonsense
framework is its normative character. Folk psychology holds that all
things
being equal, ideas that are true, beautiful or noble tend to be
popular. Similarly,
if an idea is false, ugly or immoral then, ceteris paribus, it should
fade
away. Hence the commonsense explanation for why a given idea spreads
(or not)
is that it possesses (or lacks) the relevant normative properties. The
advantage of meme theory becomes apparent, Dennett argues, in cases
where this
commonsense framework breaks down. These are cases where a bad idea
persists despite
being recognized as such, or where a recognizably good idea fails to
catch on. The
claim here is not that these situations contradict the normative
account of
idea transmission (note the ceteris paribus clauses); Dennett’s point
is that
our commonsense framework offers no theoretical explanation for why
these
oddball cases occur. By contrast, meme theory supposedly possesses the
resources for dealing with these sorts of cases. Specifically, the
thing that
all adaptive memes have in common, regardless of whether they are
considered
good or bad, is “a phenotypic effect that systematically tends to
disable the
selective forces arrayed against them” (Dennett, 1990). In other words,
meme theory predicts that the most popular ideas are able to infiltrate
our
“memetic immune system” (or “meme filter”). Meanwhile, unpopular ideas
are just
those that the filter is tuned to identify and discard. The faith meme
is
allegedly an example of the former. A superior but poorly advertised
technological
gadget might qualify as an example of the latter.
How
convincing is Dennett’s defense
of the explanatory virtues of memetics? One potential problem with his
argument
lies in the vague characterization of the selective forces influencing
meme
evolution. The fittest meme is one that is disposed to pass through the
filters
of our memetic immune system. But what exactly is this
mechanism and what principles govern its operation? One standard
(though often implicit) suggestion is that people are disposed to favor
memes
that promote their reproductive fitness and to discard memes that
threaten survival
and reproduction. Harmful memes that
nonetheless become popular are the ones that manage to slip through
these
filters.
But there
are some serious problems
with the view. Either the principle promote
genetic interest is itself a type of meme (something we acquire
through
social transmission) or it is not. If this principle is encoded as a
type of
meme, then it is capable of spreading by horizontal transmission. If a
tradition spreads horizontally, then its fitness is not constrained by
how well
it promotes reproductive fitness. Therefore, it remains a mystery why
the memes
influencing our memetic immune system would favor memes that promote
reproductive fitness. On the other hand, if this rule is not encoded by
memes, if
they are in some sense genetically encoded, then the meme filter would
be useless
against rapidly evolving memes. In an evolutionary arms race memes will
always
out compete genes — this is another consequence of their horizontal
transmission. At this point meme theory runs the risk of losing its
explanatory
advantage over the commonsense (normative) account. If it turns out
that the
alleged meme filter does not promote genetic fitness as a rule, then
what are
the principles according to which it operates?
It had better not be the case that this mechanism
follows the rule: accept
an idea if it is good, beautiful, noble, etc. and reject an idea if it
is ugly,
immoral or bad. Otherwise, any
difference between the two theories is merely terminological.
Susan
Blackmore (2001) tackles
some of the more technical issues associated with meme theory. Her
primary goal
in this article is to identify the conditions that must be in place for
meme
evolution to get up and running. One of the requirements that she
identifies is
a special form of high fidelity learning called true
imitation. True imitation, which is found in only a few
species including apes (Whiten et al,
Chapter 6), involves the acquisition of some distinctive skill by
observing its
performance. Blackmore explains that true imitation differs from other,
more
common forms of social learning like stimulus
enhancement in ways that are crucial to meme theory. Stimulus
enhancement involves
the acquisition of information about some salient feature of the
environment,
like a potential food source, by observing the behaviour other
organisms. But this
form of learning does not include the transmission of a distinctive
skill, such
as a particular method for extracting the food. Although stimulus
enhancement facilitates
the transmission of useful information among organisms, Blackmore sees
no
theoretical benefit in characterizing this type information exchange as
a form
of meme transmission. One way of interpreting Blackmore is that she
reserves
the term “meme” for units of information that possess a recognizable
structure which
is largely preserved across transmission events. Insofar as stimulus
enhancement
involves the acquisition of ‘knowledge that’ without the transmission
of ‘knowledge
how’, this mode of learning is less structure-preserving than true
imitation.
In contrast
to Dennett and
Blackmore, Mark Jeffries (2000) takes it as his starting point that the
meme concept is a mere metaphor: it attempts to explain the unknown
(cultural
evolution) in terms of the known (population genetics). The question
for Jeffries
is to what extent does this metaphor offer scientific insight. One
aspect of
meme theory of which Jeffries is particularly critical is the
comparison
between memes and parasites. For instance, Dennett claims that,
We
might compare these airborne invaders of our eyes and
ears [memes] to the
parasites
that enter our bodies by other routes. There are
the beneficial parasites such as the bacteria in our digestive systems
without
which we could not digest our food, the tolerable parasites, not worth
the
trouble of eliminating, such as all the normal denizens of our skin and
scalps,
and the pernicious invaders that are hard to eradicate such as fleas,
lice and
the AIDS virus (1990, 130).
Jeffries
raises several ontological objections to the meme-as-parasite metaphor.
For one
thing, it is impossible to draw a discrete boundary between the
so-called meme
parasite and its human host. This leaves memes “suspiciously
disembodied,” he
argues. However, the problem with this objection becomes apparent when
we
consider parallel cases in biology. The eukaryotic cell is thought to
have
originated out of a mutualistic relationship between two single celled
prokaryotes.
In the early days of this association it would have been easy to
identify the
boundaries between the cells that we now identify as mitochondria and
their
larger, engulfing symbionts. Millions of years later, the two are so
closely
integrated that their boundaries are much less well defined. Similarly,
it
might have been much easier to distinguish memes and their hosts during
the
early days of meme evolution. Perhaps in
the early days of culture I was more obvious how certain minds were
becoming
‘infected’ with these new memetic parasites. But as in the cellular
case, after
millennia of coevolution the boundary between these two kinds of entity
has
become blurred
A related
epistemic objection to the
parasite metaphor is that it sheds no light on the distinctive ways in
which
memes are replicated. Jeffries points out that there is no mystery
surrounding
the replication of parasites, these microorganisms employ the same DNA
based
copying mechanisms as their hosts. However, if memes exist, they are
copied by
mechanisms which are fundamentally unlike those which are involved in
the replication
of their brainy hosts. Comparing memes to parasites – or, indeed,
simply
labeling them as replicators and leaving it there – fails to identify
meme
replication as a serious theoretical problem. Jeffries concludes that
until the
mechanisms of meme replication are identified, the meme metaphor will
continue
raise more questions than it answers.
Scott Atran
(2001) offers an
external critique of the meme metaphor, arguing that so called memes do
not
admit of sufficiently high fidelity replication to qualify as units of
evolution. There is a fundamental disanalogy between the way that genes
are
replicated and the process by which ideas are transmitted, Atran
argues. Whereas
genes are replicated by a template copying process, ideas spread from
one mind
to another by a process of what Atran describes as “inferential
reconstruction.”
Atran emphasizes the fact that we do not have direct access to the
contents of
other people’s thoughts. Instead, our access is limited to their
syntactically
coded utterances, gestures and actions. Atran claims that these
“external
representations” are typically poor reflections of the underlying ideas
that
generate them. Hence, interpreting another person’s speech or behaviour
involves considerable amounts of inferential reconstruction on behalf
of the
interpreter. Following Dan Sperber (1996), Atran maintains that this
reconstruction process has the potential to rapidly degrade the
fidelity of a representation
over successive transmission evens. In support of this claim Atran
cites
several experiments where, like in the children’s game of telephone, a
phrase or
image being passed along a chain of individuals undergoes considerable
distortion by the time it reaches the end of the line. This challenge
to
memetics (and to evolutionary accounts of culture in general) has come
to be
known as the diffusion problem: if the very act of transmission
degrades the
fidelity of cultural representations, then it appears that there is no
stable
cultural entity that is capable of undergoing cumulative cultural
evolution.
This
objection raises a paradox for anyone
who views culture as a transmission process. It is a brute fact that
many
cultural traditions do not degrade in fidelity over time. So there must
be some
additional process that compensates for the potential loss of fidelity
due to
transmission error. The place where we should look for such
compensatory mechanisms,
Atran argues, is in the innate architecture of the human mind. Like
most
evolutionary psychologists, Atran views the mind as containing numerous
“mental
modules” or programs that have been shaped by natural selection acting
on
genes. These modules are thought to supply content to cultural
representations,
content that would otherwise be lost to transmission error if it were
not
innately supplied (see also Sperber and Hirshfeld, chapter 5, for a
detailed
defense of this view). From this line of reasoning Atran concludes that
the
meme construct should be abandoned in favor of a
psychologically-oriented
account of cultural evolution. What is central to culture according to
Atran
are the genetically specified representations that are impervious to
transmission error.
Even if one
accepts Atran’s claims
that cultural transmission degrades the fidelity of a representation
and that mental
modules compensate for this loss (both of which are questionable
assumptions),
it doesn’t follow that culture can be reduced to psychology in the way
that Atran
suggests. In fact, his own examples reveal that certain ideas are
transmitted
more faithfully than others. Surely there must be something about those
high
fidelity memes themselves that makes them more degradation resistant
than their
competitors. Arguing along similar lines, Kim Sterelny (2006) proposes
that some memes are fairly transparent in the sense that their
acquisition
involves little inferential reconstruction. Certain forms of spear
making
technology, for example, are relatively easy to reverse engineer by
inspecting the
finished product. Sterelny argues that in at least these sorts of cases
high
fidelity transmission does not require the existence of innate mental
modules.
Sterelny
offers two further replies
to Atran’s brand psychological reductionism. First, he points out that
the
psychological perspective overlooks co-evolutionary interactions
between
culture and genes. Our current learning biases did not appear intact
prior to
the emergence of culture, at least some of our psychological
dispositions would
have been beneficial only after high fidelity cultural transmission was
in
place. The psychological reductionist pays attention to only one side
of this
coevolutionary process – the selection pressure that minds place on
ideas –
while ignoring the converse pressure that ideas have placed on minds.
Second,
Sterelny argues that at least in the case of some traditions, their
attractiveness is independent of our particular psychological makeup.
Of
course, one requires some sort of mind to recognize the value of a good
spear
or the controlled use of fire. But the
value of these items would be recognizable to a wide range of possible
psychological beings. Thus, if individual memes have an inherent
fitness value,
one that supervenes on an indefinitely large range of possible
psychological
configurations, it follows that meme fitness is not reducible to
particular human
psychological dispositions.
One of the
important insights that Sterelny brings to this discussion is that
different
models of cultural evolution are more or less suited to describing
different
kinds of cultural phenomena. The key factor in deciding which of the
available
models best captures the evolution of a particular cultural tradition
depends
on the level at which variation appears. Some traditions are embraced
by an
entire cultural group. Sterelny proposes that such community-wide
belief
systems are best understood in terms of niche construction theory (see
chapter
4) rather than meme theory. Dropping
down a level, some traditions are passed on primarily from parent to
offspring
with a certain amount of ‘leakage’ to non-kin. Dual inheritance models
are, on
Sterelny’s view, best suited for describing selection at this level
(see Chapter
4 and below). Finally, some cultural items vary primarily at the level
of the
individual idea. Only in these sorts of cases, Sterelny claims, does
“the
fitness of memes themselves play a crucial explanatory role” (2006, p.
155). Thus, Sterelny’s account of meme
theory is fairly restrictive. In order to satisfy the conditions for a
meme-style explanation a cultural item must both vary at the level of
the idea
(and not at the level of biological lineages or cultural groups) and at
the
same time be resistant to diffusion by transmission. Sterelny suggests
that
meme theory is therefore best suited to explaining the approximately
100,000
year period of human evolution when culture consisted largely of simple
utilitarian
skills and artifacts that satisfy these two conditions. It is important
to note
however that Sterelny does not accept the Sperber/Atran explanation for
why less
transparent cultural items are degradation resistant.
He does not appeal to innate mental modules
to avoid the diffusion problem. Instead, Sterelny’s alternative
explanation for
the accumulation of more complex cultural phenomena appeals to the idea
of
niche construction and social scaffolding. These ideas are discussed in
the
following section.
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5: Dual
inheritance theory and niche construction.
Dual inheritance theory has been
aptly described as “a
hybrid cross between memetics and evolutionary psychology, with a
little
mathematical rigour thrown into the pot” (Laland and Brown, 2002, p.
242). Like
memetics, this theory views culture as a system of ideational phenomena
(beliefs, skills, norms, etc) that can be transmitted in relatively
discrete
chunks among unrelated individuals. Like evolutionary psychologists,
dual
inheritance theorists assume that genetically encoded psychological
dispositions influence the direction of cultural change. However, dual
inheritance theorists offer a much more dynamic picture of the ways
that genes
and culture interact compared to either of these alternative
frameworks. A
typical dual inheritance model explicitly identifies two or more
versions of a gene
(A and a) as well as two or more cultural variants (C and c) that are
distributed at a certain frequency in the population (e.g. AC: Ac: aC:
ac). Each gene/culture combination is
assigned a fitness
value that influences its frequency in the next generation (e.g. Ac
> AC =
aC < ac). In addition, cultural variants can spread horizontally
among
members of the same population (for example a certain proportion of AC
changes
to Ac). Once the relevant parameters are set, the model is run over
many
generations. Such simulations enable researchers to identify the ways
that
different genetic and cultural traits potentially coevolve. In one
famous
example, Feldman and Cavalli-Sforza (1989) developed a dual inheritance
model
to determine whether dairy farming could have coevolved with the gene
for
lactase production. In this model the gene for lactase experiences a
fitness
boost when paired with the cultural tradition of dairy farming,
otherwise it is
not selectively favored. Similarly, the tradition of dairy farming is
most
advantageous when paired with the gene that allows for the efficient
absorption
of lactose. This model reveals some unexpected results. The
lactose/dairy
complex does become rapidly established in the population, but only
when dairy
farming is highly heritable among related kin. This result is
surprising in the
sense that it would have been difficult to predict without a dynamic
model that
explicitly represents gene-culture interactions (Durham, 1991).
The lactose
example is somewhat unusual however in that, to date, dual inheritance
models
are not usually so empirically grounded. Rarely do these models
identify known
genes. More often the “genes” identified by dual inheritance theorists
are
actually traits with a complicated genetic basis that potentially
interact with
cultural factors in a multitude of ways. So, dual inheritance models
are highly
idealized. However, their simplicity is both a virtue and a vice. As
Boyd and
Richerson explain, “The goal of such models is to isolate the
population level
consequences of a limited set of processes by stripping away all the
confusing
detail due to other processes” (1987, p. 67). By exploring the
properties
of an idealized model it is possible to identify the minimal conditions
required for certain traits or traditions to evolve. Idealized models
also
allow for the identification of general evolutionary trends that would
be less
visible in a collection of more complicated (though more realistic)
models. However,
as we shall consider momentarily, the simplicity of these models can
also make their
application to real-world situations questionable.
Presentations
of dual inheritance models tend to be fairly mathematically laborious
and do
not always make for engaging reading. However, Boyd and Richerson’s
model of
the evolution of ethnic markers (1987) is an exception to this trend.
Ethnic markers are behaviours that signal an individual’s affiliation
with a
particular cultural group. Often these behaviours are arbitrary, like
the lilt
in one’s speech or a particular form of dress. Although they are found
in every
known culture, ethnic markers serve no obvious function and thereby
pose
something of an evolutionary puzzle. Boyd and Richerson’s model offers
an
interesting “how possibly” explanation for the evolution of ethnic
markers. In
their model, they imagine a population of individuals who must select a
particular subsistence strategy (farming or herding) by observing how
well each
strategy is panning out for others. The environment is variable, so
that in some
generations herders do better than farmers and in other generations the
opposite is true. The adaptive problem faced by each generation is
which strategy
is currently the best one going. However, as Boyd and Richerson note,
in reality
it is not always reliable to simply adopt whichever strategy seems to
be
working for one’s neighbors. Sometimes there are unknown interaction
effects
between the behaviour of interest and other practices that one adopts.
For
example, in some environments it is likely that becoming a successful
herder requires
cultivating a hair-trigger propensity for violence, a disposition that
wards
off potential cattle rustlers (Nisbet and Cohen, 1996). When such
interaction
effects are present it is not good enough to simply adopt the strategy
that is
most successful. One must also adopt the
strategy that is benefiting others whom one most closely resembles.
Ethnic
markers conceivably provide an index of the degree of cultural
similarity between
oneself and a potential demonstrator. So, by copying individuals who
both share
the same markers and are at the same time relatively successful one
maximizes his
or her fitness. An interesting feature of this model is that ethic
markers tend
to become more pronounced over time. This suggests that ethnic markers,
though
in one sense arbitrary, have an important adaptive function in allowing
a population
to adaptively track fitness peaks in a changing environment.
Through the
use of such minimalist models, dual inheritance theorists have
identified
several important generalizations about the nature of gene-culture
coevolution.
For instance, Cavalli-Sforza and Feldman (1981) demonstrate how
different types
of horizontal transmission (many-to-one or one-to-many) can have a
dramatic
impact on the rate at which cultural traditions evolve. Another
important
result identified by Boyd and Richerson (1982, 1985) is that certain
forms of intra-group
horizontal transmission allow for group-level selection. Although
lacking in
empirical support, these models provide vivid depictions of the ways
genes and
culture can (and cannot) coevolve.
An
important criticism of dual inheritance models is that they sometimes
make
questionable assumptions about human psychology (Atran, 2001; Sterelny,
2006). Take Boyd and Richerson’s assumption that humans sample widely
from
the pool of available demonstrators, mimicking those who are both
similar and
successful. How realistic is this picture? One might argue that people
rarely get
the opportunity to sample from a range of cultural parents as opposed
to having
particular traditions foisted upon them. For that matter, the choice
about
which subsistence strategy to adopt is rarely such a simple two-factor
decision. One of the potential dangers of using such idealized models
is that
the evolutionary impact of more complex (and arguably more realistic)
decision
rules are left unexplored.
A related
criticism of dual
inheritance models draws on the diffusion problem raised by Atran
(2001)
in his objection to meme theory. Recall that this criticism states that
since
the fidelity of a given tradition degrades as a result of social
learning there
is no stable cultural entity capable of undergoing cumulative
evolution. Dual
inheritance models typically help themselves to the assumption that
cultural
variants are, in fact, transmitted with high fidelity. This is another,
potentially even more troubling respect in which these models are
psychologically unrealistic. The diffusion problem, if it is real,
threatens
dual inheritance models just as much as it does memetics.
In response
to this worry, Henrich
and Boyd (2002) develop a model that aims to show how cumulative
evolution
can occur at the population level despite
low fidelity transmission among individual demonstrators and learners.
In their
model they imagine that individuals are endowed with a “conformist
bias” that encourages
them to adopt the behaviour that is most prevalent in the community.
Even when
social learning is highly error prone, they demonstrate, this
conformist bias operating
in conjunction with strong individual-level selection allows the
tradition to
persist in a population. A similar result can be obtained by relaxing
the
degree of selection pressure and introducing a second “prestige bias”
that
leads individuals to copy the most successful individuals in the group.
Again,
even at low levels of fidelity, conformist and prestige biases
compensate for
the diffusion problem and allow for cumulative cultural evolution at
the
population level.
Sterelny
objects to this response to
the diffusion problem on the grounds that Henrich and Boyd’s model is
psychologically
unrealistic. In particular, Sterelny questions whether it is typically
possible
to estimate the long run success of a demonstrator by observing his or
her
behaviour (a challenge directed primarily at the prestige bias). Many
traditions are relatively opaque, Sterelny notes, in the sense that
they do not
wear their reproductive consequences on their sleeves. This is
especially the
case for traditions that have delayed developmental consequences, such
as the
influence of certain parenting strategies on offspring’s moral and
emotional
development (Linquist, 2007).
This view
about the failure of dual
inheritance models to explain cumulative evolutionary change raises a
paradox
similar to the one encountered in the case of memetics. On the one
hand, we
know that cumulative cultural evolution does occur. On the other hand,
models
of this process require unrealistic assumptions about the nature of
human
psychology and/or the strength of selection. Sterelny, for one, is
unwilling to
accept the evolutionary psychologist’s solution to this problem. That
is, he
doesn’t think that there are innately specified modules that compensate
for the
loss of information by social transmission. Instead, Sterelny suggests
that
humans have evolved a cultural solution of “scaffolding” the
transmission of
cultural materials. Practices like the explicit teaching of hunting and
tool
making or the telling of stories and fables effectively reinforce
certain
traditions in the minds of social learners, thereby compensating for
the
potential loss of information by transmission error.
From an
evolutionary perspective, Sterelny
views social scaffolding practices as special case of
niche-construction, a
process whereby groups of organisms modify features of their
environment in
ways that benefit them as a collective. Niche construction theory is
the fourth
and final member in the family of recent approaches to cultural
evolution being
explored in this volume. This approach is sometimes described as
turning the
standard model of adaptation on its head. According to the standard
model, the
environment is regarded as a sort of filter that selects among
organism-produced variation. When the environment changes new variants
are selected,
and so the process goes. Niche construction theory suggests an
alternative way
of coping with environmental change. Instead of adapting to
environmental
pressures, some populations modify their environments in ways that make
certain
adaptive changes unnecessary. Prototypical examples of niche
construction often
draw upon non-human examples of epigenetically inherited traits, such
as the
large mound-dwellings that termites create to protect the colony
against
temperature fluctuations. Each generation of termites expands upon its
mound-dwelling and then passes the modified product on to future
generations. Through
this process of cumulative niche construction, successive generations
of
termites are able to build up a highly adaptive structure that relieves
them
from certain selection pressures. Of course, the adoption of a
mound-dwelling
lifestyle is bound to come with its own set of adaptive challenges.
However, in
some cases the fitness landscape created by a modified environment is
easier
for a population to climb than one that has not been altered. Adapting
to
fluctuating desert temperatures would arguably involve more radical
physical
and behavioural changes than the ones required for mound construction
and
habitation.
Niche
construction theorists see a
direct parallel between these sorts of examples and what humans do when
they
construct certain social institutions. In some cases a social
institution will
take on an evolutionary momentum of its own, imposing selection
pressure on
both genes and other culturally transmitted traditions. This process is
particularly
salient in cases where a social institution is perpetuated by the
community as
a whole. For example, a system of legal or moral norms perpetuated by
an entire
community can serve as a background against which particular
gene-culture
combinations are more or less successful. In such cases selection
potentially
acts at three levels. First, there is potentially variation and
selection at
the level of the entire community or social group, for example, if some
legal
and moral norms make the collective more competitive than its rivals.
Second,
there is potentially variation and selection among cultural traditions
within
the community in their tendency to be more or less successful under the
prevailing legal or moral system. Finally, both the community-wide
social
system and the individually varying cultural traditions potentially
impose
selection pressure on particular genes. A characteristic of niche
construction
theories is that they allow for variation and selection at these three
levels.
In their
defense of this
perspective, Kevin-Laland, John Odling-Smee and Marcus Feldman (2000)
argue that niche construction theory is an essential complement to dual
inheritance models. In one of their more illustrative examples, these
authors
describe the case of the Kwa speaking yam cultivators of West Africa whose rainforest clearings led to
the creation of breeding
pools for mosquitoes. This environmental modification led to an
increase
in malaria and, in turn, selection for the sickle-cell allele that
enhances
malaria resistance. These authors argue that, “the causal chain is so
long that
simply plotting the cultural trait of yam cultivation against the
frequency of
the sickle-cell allele would be insufficient to yield a clear
relationship
between the cultural trait and allele frequencies” (Laland et
al, 2000, p. 137). In this case it is necessary to identify
three distinct systems that are capable of varying independently of one
another: the cultural tradition of yam cultivation, the external
environment in
which mosquito pools form, and the alleles for sickle-cell anemia. As
in the
termite example, a modified feature of the physical landscape both
enables the
Kwa to adapt to their broader environment and at the same time serves
as a
selective niche to which they must genetically adapt.
Up
to this point it has been argued that dual inheritance theory offers
several
advantages over alternative theories of cultural evolution. Unlike
memetics, dual
inheritance models explicitly represent the coevolutionary dynamics
between particular
traditions and alleles. Another advantage of dual inheritance models is
that
they abstract away from the details of particular evolutionary
scenarios and
strive for a general account of how certain types of traditions evolve.
We have
seen that in order to explain cumulative cultural evolution these
simple models
rely on some questionable psychological assumptions. Niche construction
theory
potentially provides a more detailed framework for understanding how
cultural
transmission works. Instead of being a “leaky” or error-prone learning
process,
cultural transmission potentially involves the active “scaffolding” of
traditions in naïve social learners. This suggestion differs
markedly from the
alternative, evolutionary psychological hypothesis that genetically
specified modules
explain the fidelity of cultural representations. To decide between
these
alternatives the natural place to look is the psychological evidence.
The
emergence of dual inheritance models have sparked renewed interest in
the
mechanisms involved in social learning and transmission. It is to this
subject
that we now turn.
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6: Psychological mechanisms.
Cultural evolution theorists have
historically employed a
‘top down’ approach in their classification of psychological
mechanisms. They
begin by asking, what are the conditions that culture must satisfy in
order to
evolve by natural selection? This leads to the identification of a
handful of
functional role categories: there must be some source of novel
variation, a
process by which variants and preserved, and another process that
selects among
them. Only then do cultural evolutionists begin to search for
psychological
mechanisms to fill those roles. For example, innovation and creativity
are
posited as novelty generators. Imitation learning is characterized as a
mechanism for high fidelity transmission. And various preferences and
psychological biases are posited as selective filters. There are both
advantages
and drawbacks to this top-down approach (some of these were discussed
earlier
in the context of dual inheritance models). One benefit is that
theorists are
able to abstract away from irrelevant psychological details about how
mental
processes are realized at the cognitive or neurological level. From an
evolutionary perspective it doesn’t matter how neurons store cultural
information as much as that they do. Another advantage is that the
top-down
approach can identify functional similarities in mechanisms that appear
distinct at lower levels of description. Although trial and error
learning
appears to have little in common with drawing inferences about another
person’s
thoughts, both of these mechanisms fall under the same functional
category of
fidelity degrading processes. A third advantage of the top down
approach is
that it can suggest novel hypotheses about how psychological mechanisms
work.
This is exemplified in an interesting article by Joseph Henrich and
Francisco
Gil-White (2001) on the evolution of prestige, which is described in
more
detail below.
It is
important to also note the potential drawbacks of the top-down
approach. One
problem is that this strategy tends to generate an overly simplified
picture of
the mind. The emphasis often placed on identifying the minimal
conditions for cultural evolution leads inevitably to an
impoverished psychological taxonomy. The top-down approach often
ignores the
possible ways that other, unidentified mental processes might impact
the direction
of cultural change. A second challenge for top-down theorists lies in
the
potential mismatch between functional roles and psychological
mechanisms.
Sometimes it is questionable whether a given psychological mechanism is
capable
of performing the functions being assigned to it. For instance,
imitation
learning is typically identified as the mechanism responsible for
transmitting
all sorts of cultural information. However, Dan Sperber and Lawrence
Hirshfeld (Chpater
5) argue that imitation learning, as it is commonly understood by
psychologists, involves the copying of overt skills and behaviors.
Since many
cultural representations are not associated with a particular behaviour
or
skill, imitation learning cannot be the primary mechanism involved in
cultural
transmission (c.f. Heyes, 1993). In order to overcome these two
obstacles it is
often necessary for cultural evolutionists to supplement their
psychological
taxonomy with findings from empirical psychology, and this sometimes
requires making
significant revisions to existing evolutionary models.
Henrich and
Gil-white’s analysis of prestige is a success story for the top down
approach.
These authors distinguish prestige from dominance along the following
lines.
Whereas dominance is a form of social status acquired by exerting force
over
subordinates, prestige is a form of status bestowed on certain
individuals because
they possess some valued skill or knowledge. Henrich and Gil-White
argue that prestige
recognition is a relatively recent adaptation in humans. Once humans
became capable
of passing on acquired knowledge, a sort of informational economy was
born. Every
generation a cohort of naïve social learners must decide whom
among the
available cultural role-models to emulate and learn from. Individuals
who copy
the most knowledgeable or skilled demonstrators enjoy a fitness
advantage.
However, it is not always obvious, especially over short exposure
periods,
which of the available demonstrators possesses the most adaptive skill
set.
Henrich and Gil-White propose that prestige recognition evolved as a
way to
minimize this discrimination cost. If the amount of prestige a person
receives
is an honest signal of his or her long-term success, then one can
acquire the
most adaptive skills by copying the most prestigious demonstrators. In
turn,
they argue that it is in an individual demonstrator’s interest to
acquire as
many followers as possible. Thus, prestigious individuals are in
competition
with one another for followers and are therefore predicted to engage in
various
sorts of non-threatening behaviours that make them seem more
attractive. This hypothesis
predicts that prestige will be associated with a very different suite
of
psychological features from dominance. Maintaining dominance involves
striking
fear into subordinates and it is therefore associated with aggression
and
submission. Earning prestige, which involves winning the esteem of
followers, is
associated with non-threatening gestures like self deprecation and
submission.
Henrich and Gil-White provide considerable psychological support for
their
thesis that these two distinct processes are served by different
psychological
mechanisms. This case illustrates how reasoning about the functional
requirements for the transmission of culture can generate novel
top-down
predictions about the structure of psychological mechanisms.
It is
relatively rare, however, that insights from cultural evolution theory
lead to
this sort of refinement of existing psychological categories. A more
common
criticism of these theories is that their list of psychological
mechanisms is
impoverished in respects that are relevant to cultural evolution. For
example,
one of the more salient features of human psychology is our capacity
for
rational deliberation. As Dan Dennett noted in his discussion of
memetics (1990), there is an apparent tension between our commonsense
normative account of
why some ideas are more popular than others (because there are true or
more
virtuous) and evolutionary accounts that appeal to differential fitness
among
memes. Dennett argued that the evolutionary approach has certain
explanatory
advantages over the normative framework. He claims that only
evolutionary
models explain why some ideas remain popular despite violating our
standards
for rational acceptability. By contrast, Chrisopher Bohem (1978) argues
that an adequate theory of cultural change cannot be entirely free of
normative
considerations. Bohem identifies a process he calls “rational
preselection”
that guides decision making not only in humans, but allegedly in other
primates
as well. In troops of Hamydryas baboons, Bohem explains, individual
group
members engage in a sort of voting process about where to search for
food. The
votes of older more experienced group members carry more weight than
novices,
but eventually the group moves in the direction decided upon by a
complex group
decision-making process. Bohem argues that even this relatively simple
democratic process involves a form of rational preselection that cannot
be
explained in terms of ‘blind’ variation and selective retention. This
is
perhaps true if one takes the analogy to blind
genetic variation as a critical feature of cultural
evolution models:
humans and probably many other creatures often ‘look before they leap’.
However, in the baboon case one need not appeal to a normative notion
of
rationality or justice to explain their collective decision making
behaviour.
Some individuals have displayed an aptitude in finding water and food
and
others know to rely on them as a guide. Cultural evolution models
easily
explain the evolution of this behaviour in terms of the selection of
certain
social traditions at the level of the troop. Granted, this theory lacks
the
resources for explaining the social interactions among group members as
they unfold
moment by moment. But such proximate level explanations are not in
conflict
with the ultimate level explanations that cultural evolution models
offer.
In the case
of rational preselection in humans, however, Bohem could potentially
make a
stronger case. He argues that humans routinely evaluate alternative
courses of
action before putting any one of them into action. What is interesting
about
this process is not so much that it involves a form of pre-selection,
but
rather that it is rational (i.e. governed
by norms of rationality). For example, it is generally thought that
beliefs
should be subject to critical scrutiny when possible and that those
lacking an evidential
basis should be discarded. Such standards for what counts as a rational
or
justified belief do not involve an estimation of its evolutionary
consequences.
This is the main respect in which human deliberation appears to differ
from
what baboons are doing. Nor is it clear that our standards of
rationality can
be explained as the product of cumulative selection on cultural
variants. At
the memetic level, cultural variants are expected to spread only
insofar as
they are capable of replicating and spreading more efficiently than
competitors
– nothing about this process guarantees that memes promoting rational
deliberation will be favored. Nor is selection at the level of cultural
lineages or groups likely to favor rationality norms. Religious belief
systems
that explicitly denounce the need for evidence or rational scrutiny are
favored
by cultural group selection when they promote inter-group cooperation
and
organize the punishment of “free riders” (Wilson,
2002). Arguably, these ends can be achieved more readily by an
irrational
belief system than by a rational one. Thus, the prevalence of norms for
rationality in human societies remains a potential mystery for cultural
evolution theories. Until these theories can make clear the link
between
rationality norms and fitness at some level of cultural or biological
organization, rational preselection will have to be regarded as a
non-evolutionary process capable of directing the course of cultural
change.
Following
Atran’s (2001)
objection to memetics, Sperber and Hirshfeld (2004) argue that the
mechanisms for cultural transmission identified by most cultural
evolution
theorists couldn’t possibly support high fidelity transmission and
cumulative
cultural evolution. Imitation learning, they argue, is ineffective when
it
comes to transmitting concepts or beliefs that are not explicitly
manifested in
a sequence of behaviours. The transmission of abstract concepts and
beliefs
therefore requires inferential reconstruction. And this process must in
turn be
constrained, they claim, by domain specific cognitive modules that are
largely
genetically acquired. The fact that different cultures display
surprising
similarities in their beliefs about the supernatural and in their ‘folk
biological’ categorization systems is cited as further evidence of a
shared
psychological architecture.
One
objection to Sperber and
Hirshfeld’s argument states that they overstate their conclusion. Many
kinds of
cultural phenomena (like tools and hunting techniques) could
conceivably be
transmitted by imitation learning alone. Therefore not all forms of
cumulative
cultural evolution require that imitation learning be supplemented by
buffering
mechanisms. Another reply to Sperber and Hirshfeld resists the
inference that
buffering mechanisms must be innate. Humans engage in various sorts of
behaviours that “scaffold” the acquisition of cultural information in
social
learners. These social scaffolding behaviours, such as the explicit
teaching of
an idea or the repetition of a skill until the learner has ‘got it’,
could
easily correct for potential the loss of fidelity due to imitation.
Moreover,
many of these traditions could be transmitted socially and would not
require
the genetic evolution of a domain specific cognitive architecture.
Laureano Castro and Miguel Toro (2004)
identify another social scaffolding mechanism that can augment
imitation
learning: parental approval and disapproval of an offspring’s beliefs
and
actions. Approval serves as a form of positive reinforcement without
requiring
that the offspring directly see the adaptive benefits of a belief or
action. Likewise, disapproval allows the
offspring to
acquire information about the adaptive value of a behavior that he or
she is
self discovering without having to experience its negative implications
first
hand. A further function of parental approval and disapproval is that
these
behaviours communicate to a social learner whether they have adequately
mastered a particular skill or idea, thereby enhancing the fidelity of
imitation learning. Castro and Toro note that there is no evidence of
parental
approval or disapproval in any other primate besides us. This supports
the
claim that approval mechanisms are one of the important components in
our
unique capacity for cumulative cultural evolution.
Although they do not discuss the
developmental origin of approval mechanisms, it is conceivable that
these are
transmitted at least in part by non genetic means. Once such mechanisms
are in
place they could potentially scaffold the development of beliefs about
the
supernatural, folk biological categories and other bodies of adaptive
knowledge.
The
articles in Section 6 identify
an interesting new direction for theories of cultural evolution.
Traditionally
these theories have operated with a minimalist account of the
mechanisms
involved in social transmission. Decisions about whom to imitate were
seen as
an individually guided process much like trial and error learning,
where the
agent samples and evaluates the available models. Imitation itself was
often
taken for granted as a high fidelity process requiring little social
enhancement. Questions about the plausibility of these assumptions led
to a
more elaborate picture where models play an active role in guiding the
acquisition of cultural information. Future directions for this theory
will
explore why such social scaffolding mechanisms evolved exclusively in
humans
and what sort of genetic adaptations contributed to their evolution.
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7: Culture in
nonhuman animals.
Until
recently, the suggestion that culture might be found in other species
would
have been scoffed at by most scientists. Culture has historically been
regarded
as one of those sacrosanct traits like tool use (Allen, 1997), language
(Deacon, 1997), and moral reasoning (Joyce, 2006) that distinguishes
humans
from other animals. This view was challenged in the 1960s by Jane
Goodall and
fellow primatologists who reported field observations of
population-specific
behaviours that appeared to be socially acquired (Goodall, 1968, 1973).
Another
example, potato washing in Japanese macaques, has become one of the
most
glorified cases of primate culture (our own species not withstanding).
Primatologists were present when Imo, a young female macaque, first hit
upon
this strategy of removing soil from her food and they carefully
documented the
spread of this behaviour to her fellow troop members. In reporting this
event,
Masao Kawai (1965) was careful to describe potato washing as a precultural behaviour. However this and
other animal traditions are now commonly described as instances of
animal
culture, full stop. This choice of wording would be less controversial
if
“culture” had an accepted theoretical definition against which such
claims
could be evaluated. But as many of the articles in this volume note,
there is
little agreement about what the defining features of culture are. The
debate
over how to label animal traditions is therefore more than just a
semantic one.
At issue is the question of whether human and animal cultures, though
obviously
different in certain respects, can be explained in terms of the same
Darwinian
principles.
Theorists
who view animal traditions as continuous with human culture tend to
emphasize
their similarities: both are acquired by observational learning, both
can
involve arbitrary or non-functional behaviours, both forms of culture
are
capable of descent with modification and local adaptation. However,
critics who
argue for a difference in kind note that animal traditions are fairly
piecemeal
in character, usually involving a patchwork of context-specific
behaviours like
nut cracking and termite fishing rather than an integrated suite of
practices.
A second difference is that (arguably) only human cultural
representations are
symbolic (Deacon, 1997), which seems an important factor in explaining
their
spread and development. Another critical difference is that human
cultures have
elements which are explicitly taught while, as far as anyone knows, all
animal
traditions are gleaned exclusively by observation (Sapolski, 2006).
This
fact has been used to explain another distinguishing feature: even the
simplest
forms of human culture are much richer than any animal tradition.
Regardless of
whether one is talking about tool making in ravens, song evolution in
finches,
or termite fishing in chimps, the potential for complexity and
cumulative
evolution appears quite limited. So there must be something distinctive
about
the human mind that explains the informational complexity of human
culture. The
four articles appearing in section 7 address these and other related
issues.
Robert
Sapolsky (2006) challenges one of
the purported differences between human and animal cultures, arguing
that in
some species culture is not as piecemeal as most researchers assume.
Sapolsky
acknowledges that many reported cases of animal culture involve
isolated
behaviours that occur in circumscribed contexts. However, he goes on to
identify a less frequently described form of “social culture” that
affects a
broad range of different social interactions. The best documented
example of
social culture involves a particular troop of baboons that experienced
a sudden
loss of adult males due to disease. This event caused a sea change in
the
troop’s social milieu. Interactions went from being highly aggressive
and
stressful to relaxed and welcoming. The key feature of this example is
that the
adoption of a relaxed cultural style permeated a range of different
behaviours
including grooming rates, number of aggressive encounters, and
individuals’
willingness to accept new troop members. Not only does this example
challenge
the assumption that animal culture is piecemeal, it also suggests that
animal
social cognition is more flexible than many authors have assumed. On
the
traditional view animal social cognition is regarded as highly domain
specific.
For example, the way that an animal responds to a dominance threat is
thought
to be unrelated to its parenting style or grooming behaviour. Likewise,
humans
are sometimes considered unique in their capacity for cross-domain
reasoning
(Sterelny, 2004). However, if Sapolsky is correct about the nature of
social
culture in baboons, these organisms are cognitively more flexible than
it has
been traditionally assumed.
Like
the
potato washing example, Sapolsky’s observations of social culture in
baboons
involved careful fieldwork spanning several years. Students of animal
culture
do not always have the time and resources for this kind of detailed
analysis.
Thus, in recent years there has been an effort to develop more
efficient
strategies for documenting animal culture. One of the most influential
techniques was pioneered by Andrew Whiten and his colleagues (1999) who
claim
to identify a range of cultural differences among chimpanzee
populations. These
researchers drew upon existing behavioural reports from seven distinct
field locations.
Their analysis revealed 42 categories of behaviour that varied among
the
different research sites. In the next stage of their analysis Whiten et al excluded any behaviour that could
be explained as an adaptation to the local environment. Once these
ecologically
meaningful behaviours are discounted, 39 behavioural differences
remained. The
majority of these differences involve foraging or feeding. For example,
some
chimpanzee use stones to pound nuts, others do not use any form of
anvil but
instead employ a stick to probe ant mounds, and so on. Whiten et al argue that these behaviours cannot
be attributed to genetic differences among the populations. Nor, they
argue,
are these behaviours likely to have been acquired by individual
(non-social)
learning. On these grounds Whiten et al
infer that chimpanzee groups possess at least 39 distinct cultural
traditions.
This study
has inspired several similar investigations that have identified
cultural
traditions in monkeys, orangutans, whales and dolphins (Laland and
Janik, 2006). In each case the same
methodology is employed: any population specific behaviours that are
not
ecologically meaningful and which cannot be attributed to genetic
differences
are identified as cultural. However, Kevin Laland and Vincent Janik
identify
several flaws in this methodology. These studies do not carefully
explore the
role that genetic differences might play in contributing to behavioural
differences. Nor are the researchers who conduct these studies
sufficiently
familiar with local ecological conditions to rule out adaptation as an
alternative explanation. More fundamentally, however, Laland and Janik
object
that this methodology rests on a pair of faulty assumptions. First, it
is
assumed that a trait is cultural only if it is not ecologically
meaningful. The
problem is that cultural traits can themselves evolve by natural
selection and
thereby promote ecologically meaningful behaviour. Second, Whiten et al’s methodology fallaciously assumes
that behaviours are either culturally or genetically specified. In
fact, no
“cultural” trait lacks a genetic basis; and many “genetic” traits are
modified
by culture. Dual Inheritance theory offers a particularly vivid
illustration of
how both cultural and genetic factors contribute to the development of
certain
behaviours (see Section 5). As a way of transcending these problematic
assumptions, Laland and Janik offer several alternative methods for
identifying
culture in animals.
In their
article, “How do apes ape?” (2004) Andrew Whiten and his colleagues
explore the psychological dimension of chimpanzee culture. The verb,
“to ape”
was introduced into the animal culture literature by Michael Tomasello
(1996)
as something of a technical term. Tomasello defined “aping” as a kind
of
imitation learning where the observer adopts a specific action from a
demonstrator. Learning to fish for termites with a stick is not
necessarily
aping, on this view, unless the observer adopts the exact sequence of
bodily
movements from the demonstrator. Tomasello argued that according to the
evidence that was available at the time, apes cannot ape. Instead, apes
were
thought to be capable of mere “emulation learning”, a form of stimulus
enhancement where the observer learns something about the environment
(e.g.
that sticks can be used as tools) without acquiring a specific skill.
However,
as Whiten et al note, a considerable
amount of research on ape’s capacity for social learning has transpired
since
the publication of Tomasello’s article. It is now recognized that apes
can ape,
the question is “how?”, or, more specifically, what learning strategies
do apes
employ when learning by observation?
Based on
their review of the recent evidence, Whiten et
al conclude that the distinction between imitation learning (or
aping) and
emulation learning is too course grained. Apes are capable of a variety
of
different forms of observational learning that fall between these two
extremes.
For instance, chimps are capable of “goal emulation” where they acquire
the
objective of a demonstrator (e.g. to acquire food from inside a
container)
without mimicking exactly the demonstrator’s movements. Whiten et al distinguish goal emulation from
the less cognitively sophisticated task of “results emulation”, where
the
observer learns about a certain result from a demonstrator (e.g. that
some
containers hold food) without recognizing that the observer was
striving to
achieve some goal (e.g. looking for food). Apes also engage in “object
movement
reenactment” which involves copying the form of a caused object
movement (e.g.
swinging a hammer), though not necessarily by adopting the exact same
movements
as the demonstrator. Generally speaking,
Whiten et al note that apes tend to
be more focused on the objects that a demonstrator is manipulating, and
the
results of those manipulations, than they are on the exact behaviours
or
strategies demonstrators employ. If an
observer acquires a goal from a demonstrator, but is unsuccessful in
using his
or her own strategy for achieving that goal, then the demonstrator
might
refocus attention on the way in which the demonstrator executed that
end. This
would be a case of frustrated goal emulation leading to full blown
aping.
However, as Whiten et al note, apes
will resort to strict imitation only when their own attempts to achieve
some
goal have been unsuccessful. So, apes employ a collection of social
learning
strategies. Sometimes they learn that a particular object has the
potential to
be useful (e.g. as a general purpose hammer) without associating that
object
with a specific goal. At other times an ape will acquire a goal from a
demonstrator, but insist on employing its own strategy for realizing
that end.
If, however, that strategy isn’t working an observer will sometimes
consult the
demonstrators exact movements and try to ape his or her actions
exactly. There
is some evidence that humans are less flexible in their social learning
strategies. More often, a child will adopt the exact actions of a
demonstrator
(they will ape) without first striking out on their own. A simple way
of
viewing the differences is that children are more intent, at least
initially,
on copying what the demonstrator is doing than they are on deciphering
the
reason for doing it. It seems likely that this emphasis on behavioural
process
is a key ingredient in explaining the richness of human culture.
However,
the finding that chimpanzees are capable of imitative learning (aping)
poses a
puzzle for theories of cultural evolution. If chimps are capable of
aping, then
why is chimpanzee culture significantly less complex than human
culture? The
traditional explanation (Tomasello, 1993) appealed to chimps’ inability
to ape as
the reason for why useful behaviours, when they arise, are usually not
preserved over successive generations. However, Whiten et
al’s analysis suggests that chimp culture should be more complex
than it is. Suppose that some chimp has hit upon a particular strategy
for
building shelters that requires following a particular sequence of
steps.
Others might initially attempt to construct this shelter using a
strategy of
their own. But after several unsuccessful attempts, one would expect
those
observers to consult the demonstrator a second time, paying closer
attention to
her techniques. Thus, one might expect to find at least some complex
cultural
artifacts – shelters, perhaps weaponry- given that apes have the
capacity to
ape (albeit a somewhat reluctant one).
Tomasello
(2001) identifies several additional features of the human psyche,
besides
the capacity for imitation, that potentially explain why human culture
is so
distinctive. One of these is our capacity for language. As evolutionary
biologists John Maynard-Smith and Eors Szathmary (1997) have suggested,
the
emergence of language might have constituted a “major transition” in
human
evolution because it provides an efficient means for encoding vast
amounts of
information . Perhaps there is simply an upper limit to how cognitively
complex
a non-linguistic culture can become. However, this cannot be the whole
explanation for why human culture is so different from what we find in
other
primates. Firstly, it is implausible that any tool more complex than a
stick or
anvil requires language to facilitate its social transmission. Even
without
language, chip culture could become a lot more complex than it is.
Secondly,
this explanation merely pushes the question back a level. If language
is the
necessary ingredient for complex culture, then what sorts of
psychological
abilities had to be in place before it could evolve?
Tomasello
also mentions our capacity for joint attention as a key ingredient for
human
culture. From a very early age, an infant’s attention is drawn to the
objects that
she sees her caregivers attending to. Thus, from the beginning a
child’s environment
is interpreted through the eyes of her caregiver. Tomasello sees this
capacity
as being closely related to humans’ tendency to identify others’ as
intentional
agents (agents with beliefs and goals). So, perhaps it is our ability
to read
the intentions of others, to see that they have beliefs and goals, that
explains our absorbency as cultural sponges.
But this
can’t be the whole story, either. Chimps are also capable of joint
attention,
especially at a young age. And as Whiten et
al note, chimps seem quite adept at identifying and emulating the
goals of
their fellow troop members.
Perhaps,
then, the reason why humans are so culturally distinct lies not in a
difference
in kind but rather in a difference in degree. Like chimps, humans are
capable
of imitation. However we imitate more readily and are less likely to
try a new
strategy when we’ve seen one that works. Also like chimps, humans are
capable
of joint attention and of reading others’ intentions. However, in
humans these
capacities are exaggerated to the level of an obsession. As infants we
are
fixated on what our caregivers are attending to. As adults, we continue
to
interpret the world in terms of beliefs and desires even when none
exist.
Hence, the rudiments for complex culture appear to be present in other
species,
only in humans they are exaggerated. If this view is correct, one can
imagine
that it would be fairly easy to transform chimpanzees into a robustly
cultural
species. Only a few slight modifications would be required. Just turn
up their
interest in the thoughts and aims of others, have them engage in joint
attention from an early age, and make them more conformist in their
imitative
proclivities. After a few thousand generations of cultural evolution
these
primates will potentially have evolved a complex culture rivaling what
one
finds in humans.
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