The Role of Variation in Cultural Change -Abstracts
From Santa Fe Institute Events Wiki
- 1 F. John Odling-Smee, Oxford University
- 2 Steve Lansing, Santa Fe Institute & Stanford University
- 3 James Truncer, Stanford University
- 4 Melissa J. Brown, Stanford University
- 5 Deborah S. Rogers, Stanford University
- 6 Paul R. Ehrlich, Stanford University
- 7 Laurent Lehmann, Stanford University
- 8 David Krakauer, Santa Fe Institute
- 9 Jessica Flack, Santa Fe Institute
- 10 Walter Scheidel, Stanford University
- 11 George J. Gumerman, Santa Fe Institute & School of Advanced Research
- 12 Daniel Hruschka, Santa Fe Institute
F. John Odling-Smee, Oxford University
Where does human cultural niche construction fit in?
Evolutionary theory traditionally models a single inheritance system in evolution, genetic inheritance. Attempts to model human evolution exclusively in terms of genetic inheritance foundered when it was realized that human cultural activities, based primarily on human cultural inheritance can sometimes modify natural selection in human environments in ways that change human genetics. That led to dual inheritance models of human evolution, developed by gene-culture coevolutionary theorists, based on genetic and cultural inheritance. Independently, Odling-Smee, et al (2003) developed niche construction theory, based on genetic inheritance and ecological inheritance in all organisms. Combining niche construction theory and gene-culture coevolutionary theory subsequently promoted a triple inheritance model of human evolution incorporating genetic, ecological and cultural inheritance. It now appears possible to reduce human cultural inheritance, inclusive of material culture and cultural knowledge, to potent components of a general human ecological inheritance. This paper argues the case for doing that.
Odling-Smee, F.J., K.N. Laland & M.W. Feldman. 2003. Niche construction. The neglected process in evolution. P.U. P.
Steve Lansing, Santa Fe Institute & Stanford University
The Domain of the Replicators: cultural evolution and the neutral theory
Darwinian models of cultural evolution consist of three types. If culture affects biological evolution, then cultural evolution is the heritable non-genetic transmission of anything that affects the reproductive success of individuals. Alternatively, culture may be viewed as a domain apart from biology, which evolves by Darwinian selection. Finally, in models of gene-culture co-evolution, selection occurs in both culture and biology. Evolutionary game theory offers a mathematical foundation for understanding evolution in all three cases, and interest in this approach is growing. Proponents argue that game theory is the appropriate tool whenever the success of an individual depends upon others. An evolutionary dynamic is added by modeling selection with the replicator equation, which instantiates Fisher’s Fundamental Theorem of Natural Selection (1930). But Fisher’s Theorem became obsolete in genetics after the discovery of DNA and has been forgotten by most geneticists. Geneticists and ecologists now infer selection by showing departure from Kimura’s null model of neutrality. Kimura’s approach shifts the level of analysis from the fitness of individuals to the effects of selection at the population level.
A central tenet of human behavioral ecology holds that facultative behaviors, such as dominance, produce fitness effects that are subject to cultural selection. But evidence for such selection is indirect, based on short-term statistical associations between behavior and fertility. Kimura’s neutral theory can be adapted to test for cultural selection in non-coding regions of DNA. Analyses of haplotype distributions defined by neutral microsatellites on the non-recombining Y-chromosome from 43 Indonesian communities show that differential selection among men is uncommon. Male dominance seldom translates into increased fertility over deep timescales, and short-term reproductive skew rarely produces long-term evolutionary benefits. The discovery that neutral processes explain most haplotype distributions in these communities parallels earlier results from the development of neutral theory in genetics and ecology.
James Truncer, Stanford University
Why Cultural Elaboration? An Evolutionary Perspective.
Cultural elaboration – the investment of time and energy into activities that do not have a clear role in enhancing survival or reproduction – is a common feature among complex societies and often highly visible archaeologically (e.g., mounds, grave goods of exotic materials, etc.). Such costly activities need to be explained at a theoretical level, and evolutionary models offer such a theoretical framework, but further refinement is needed. While many forms of cultural elaboration appear not to be adaptively neutral because they divert time and energy away from subsistence pursuits, we need to develop the analytic tools to show that they are not. There are many different forms of cultural elaboration and we need to ensure that the variability we are interested in explaining is accommodated by models we use. Evolutionary models need to include considerations of age structure and fertility in human populations, and we need better analytical tools to assess whether the economic costs of cultural elaboration have demographic and selective consequences in specific empirical cases. Many expressions of cultural elaboration clearly involve group-level activities, so evolutionary models that only consider benefits to individuals need to be extended to consider potential benefits to groups of individuals and the integrative mechanisms that facilitate large-scale cooperation. These refinements will require that archaeologists shift from describing modal tendencies to documenting variation in terms of frequency across time and space.
Melissa J. Brown, Stanford University
Structural Dynamics of Cultural Variation
Ethnographers have long known about the existence of cultural variation within a society, but have rarely documented the frequency of different variants. Evolutionary modelers are also well aware of population structure, but have rarely incorporated social structure into models of cultural change. Moreover, both ethnographers of recent years and evolutionary modelers have rarely distinguished between social and cultural inheritance tracks, yet the transmission of cultural information has a different dynamic than the construction or transformation of the social order, which is more akin to a niche. Examination of all these factors has proven useful in understanding marriage change in Taiwan, where the dynamic between political structure and ethnic identity affected the frequency of marriage forms and even religious practices.
Deborah S. Rogers, Stanford University
Abstract for Talk at SFI Cultural Change Workshop
Efforts to model cultural change have been criticized for the reductionist decomposition of cultures into sets of independently varying traits. The opposing view—that cultures may only be seen holistically, as organism-like suites of inextricably linked beliefs, social structures, institutions and technologies—may be equally untenable. An intermediate model may be more realistic, in which certain cultural characteristics can influence the likelihood of adoption or retention of other characteristics. Work such as that of Ruth Mace on patriliny and cattle herding indicates such linkages exist and can affect cultural change. Cultural niche construction, as proposed by Ihara and Feldman (2004), is one way to model this type of interaction. It would be useful to have realistic empirical estimates of the interactions between cultural characteristics of interest, at least in direction if not in magnitude. Data are also needed to determine what can cause the influential underlying cultural characteristics of a society, often reinforced by pressure to conform, to shift. Possibilities include political or economic conquest by others, an altered physical or social environment placing new demands on a society, or the spread of a new capability or idea with unanticipated consequences. Finally, the impact of cultural approaches on human survival, migration and reproduction, and the resulting interactions with natural selection, need to be explored.
Paul R. Ehrlich, Stanford University
Abstract for Santa Fe Workshop
Arguably cultural evolution is the single most important phenomenon that humanity now needs to understand much more thoroughly. We are in a period when Earth’s dominant animal is rapidly destroying the life-support systems upon which it is utterly dependent. To avoid a collapse of civilization clearly will require cultural changes at a speed and scale not previously seen in the historic record. But there are those who doubt whether historic change is a record of an evolutionary process and there is a widespread feeling that understanding of cultural evolution lags far behind that of genetic evolution. I will discuss why the first of those views is incorrect, and the second somewhat exaggerated, and suggest some of the changes that need to be made to improve human understanding of cultural evolution at the highest level, and some of the prerequisites to those changes. Among other things attitudes of most historians and most member of the social science community will need to change. In particular historians should focus more of their efforts on examining broad trends as opposed to just producing rich treatments of narrow topics, and recover from their general aversion to the use of quantitative methods. And social scientists will need to lose some of their physics envy and more openly recognize that Earth’s ecosystems and Homo sapiens are welded into a single complex adaptive system. Biologists should recognize more clearly that the gap in predictive ability between our models of genetic evolution and cultural evolution are not as great as they seem.
Laurent Lehmann, Stanford University
Abstract for Santa Fe Workshop
Understanding the evolution of genetically determined cooperative traits requires a detailed understanding of how genetic variants are distributed within and between groups of interacting individuals. This is empirically and theoretically generally carried out by analyzing measures of the genetic structure of populations (i.e., relatedness and measures of genetic distance). Such measures have been widely developped and considered under many different scenarios in the genetic literature. But cooperative traits can also be inherited culturally. In this case, one needs to understand how cultural variants are distributed within and between the groups of a population in order to understand the evolution of cooperation. Much less work has been done on measures of the « cultural structure » of populations. In this presentation, I will discuss some models that could be constructed in order to improve our understanding of how the cultural structure of population arises as a consequence of cultural drift and cultural migration under various modes of cultural transmission.
David Krakauer, Santa Fe Institute
Adaptive Construction Dynamics
Formal theory for the evolution of culture has been derived in part from important ideas based on formal theory in evolutionary biology. However, there has been a tendency to confound the codical and material domains (corresponding to genotype and phenotype in biology), and an insufficient emphasis has been placed on the construction of cultural forms and institutions, in favor of transmission dynamics and selection stories. Questionable concepts like cultural fitness, group selection and memes have been employed and rarely justified empirically. I will discuss some of our recent attempts to deal with these problems through a framework that we are calling "adaptive construction dynamics"
Jessica Flack, Santa Fe Institute
In this talk I argue for a more mechanistic evolutionary biology. I suggest that identification of general mechanistic principles is critical in social and cultural systems where mechanistic complexity is substantial. In particular, what is often missing from models of cultural and social evolution is consideration of how structure is built and how construction principles influence 'solution' accessibility. I will illustrate these points by discussing construction mechanisms underlying the emergence of hierarchy in biological and social systems using the evolution of power structures in animal and human societies as a 'model problem'. Topics to be (briefly) covered include principled choice of aggregate level variables and mechanisms leading to a separation of time-scales, robustness, and feed-down causality.
Walter Scheidel, Stanford University
Cultural Evolution and the Historian
The concept of cultural evolution and formal evolutionary approaches in general are neither popular nor even widely known among historians. This has to do with a number of issues, such as widespread aversion to macro-scale investigation, explicit modeling, and "reductionism," skepticism of social science approaches and transdisciplinarity beyond the humanities; innumeracy; geographical and chronological overspecialization; and aesthetic and ideological preferences for relatively narrow perspectives and the fetishization of both detail and complexity. In this unpromising context, existing work on cultural evolution, even if it were (better) known, would be of limited appeal to most historians. At the same time, historians are in fact preoccupied with problems that would benefit from input from cultural evolution theorists, such as the relationship between niche construction and cultural change, processes of blending and packaging of cultural traits, and the causes and mechanisms of cultural transmission. In order to engage in dialog and contribute to the study of cultural evolution, historians will require models that accommodate both complexity and hybridity.
George J. Gumerman, Santa Fe Institute & School of Advanced Research
Demography, Social Complexity and Cultural Evolution
One of the critical aspects of cultural transmission is population density. Several agent based models have demonstrated that the larger the number of agents and the closer they are together the more likely highly adaptive innovations are to survive and spread. This would suggest that in human populations the greater the number of individuals and the greater their connectivity the more likely cultural innovations are to thrive. Despite the critical importance of demography figures to answering many archaeological questions, accurate demographic estimates remain one of the more elusive measures in most archaeological research.
Complicating the role in demographic figures in the study of cultural transmission is the number of sodalities, social roles, and the complexity of kin organization in a society. New computer agent-based models and ethnographic data has shown that societies with a greater number of sodalities and religious and political roles have greater difficulty in adapting to social change with a decreasing population base. However, in some cases decreasing population numbers, and extreme social stress may in fact hasten dramatic cultural change.
Daniel Hruschka, Santa Fe Institute
Modeling Cultural Change: What Can We Learn from Language?
I describe research on long-term language change as a test bed for answering questions of relevance to culture change in general. To what degree do cultural systems change as integrated wholes and to what degree are they just a "bag of memes"? How and under what conditions do cultural systems hybridize? What are appropriate null models of change that would permit us to test hypotheses about Darwinian evolution of cultural forms? In this paper, I describe first steps towards a quantitative model of change intended to answer these questions in the linguistic context. Taking extant lexica from related languages as input and focusing on sound change, the model will permit us to answer questions about system-wide change (e.g. regularity of sound changes) and hybridization. Moreover, the model is a useful foundation for answering questions about the selection of cultural variants. I finish by discussing the kinds of data that would help similar modeling efforts in other cultural subsystems.