scholarly journals Exceptions to the rule? Ethnographic alternatives to cumulative cultural evolution

2020 ◽  
Vol 2 (14) ◽  
pp. 177-235
Author(s):  
George F. Steiner

In suggesting that the rules that govern the evolution of cumulative culture are observed in all modern societies, gene-culture coevolution theory implies that the biases that affect the successful ‘ratcheting’ and efficient transmission of innovations are cross-cultural universals. In the modeling of the theory the stress is placed on demographic strength, the absence of which would render small and isolated populations vulnerable to the ‘treadmill effect’, the inevitable consequence of impaired social learning. However, the ethnographic literature documents small groups of isolated hunters and gatherers who have devised intricate risk-reduction networks that do not necessarily proliferate technological innovations and function only in low demographic settings. Moreover, with merit and abilities being equally distributed, the model-based and conformist biases that influence social learning in gene-culture coevolution theory become irrelevant and elaborate ‘leveling mechanisms’ inhibit the acquisition of status and prestige. As a result, no cultural models can rise to prominence and sway the trajectory of cultural change. Contrary to the predictions of the theory, these societies do not seem to be plagued by cultural loss and, instead of hopelessly running the treadmill and living in poverty, they have developed egalitarian and, to an extent, ‘affluent’ societies. The model forwarded in this paper resolves this apparent paradox by enrolling the hypothesis of ‘cultural neoteny’. It is contended that egalitarian societies – despite their simple (immediate-return) mode of subsistence – are not the vestiges of an ancestral/universal stage from which more complex (delayed-return) economies would linearly evolve, but a relatively recent and idiosyncratic achievement through ‘subtractive cultural evolution’. Keywords: anarchic theory in ethnography, cultural heterochrony, cumulative/subtractive cultural evolution, immediate-return/egalitarian societies, ratcheting/leveling mechanisms.

2021 ◽  
pp. 095679762110322
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz

Surprisingly little is known about how social groups influence social learning. Although several studies have shown that people prefer to copy in-group members, these studies have failed to resolve whether group membership genuinely affects who is copied or whether group membership merely correlates with other known factors, such as similarity and familiarity. Using the minimal-group paradigm, we disentangled these effects in an online social-learning game. In a sample of 540 adults, we found a robust in-group-copying bias that (a) was bolstered by a preference for observing in-group members; (b) overrode perceived reliability, warmth, and competence; (c) grew stronger when social information was scarce; and (d) even caused cultural divergence between intermixed groups. These results suggest that people genuinely employ a copy-the-in-group social-learning strategy, which could help explain how inefficient behaviors spread through social learning and how humans maintain the cultural diversity needed for cumulative cultural evolution.


2020 ◽  
Vol 287 (1928) ◽  
pp. 20200090
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz

A defining feature of human culture is that knowledge and technology continually improve over time. Such cumulative cultural evolution (CCE) probably depends far more heavily on how reliably information is preserved than on how efficiently it is refined. Therefore, one possible reason that CCE appears diminished or absent in other species is that it requires accurate but specialized forms of social learning at which humans are uniquely adept. Here, we develop a Bayesian model to contrast the evolution of high-fidelity social learning, which supports CCE, against low-fidelity social learning, which does not. We find that high-fidelity transmission evolves when (1) social and (2) individual learning are inexpensive, (3) traits are complex, (4) individual learning is abundant, (5) adaptive problems are difficult and (6) behaviour is flexible. Low-fidelity transmission differs in many respects. It not only evolves when (2) individual learning is costly and (4) infrequent but also proves more robust when (3) traits are simple and (5) adaptive problems are easy. If conditions favouring the evolution of high-fidelity transmission are stricter (3 and 5) or harder to meet (2 and 4), this could explain why social learning is common, but CCE is rare.


2018 ◽  
Vol 14 (2) ◽  
pp. 20180069 ◽  
Author(s):  
M. Dyble

The ability to develop cultural adaptations to local environments is critical to the biological success of humans. Although overall population size and connectedness are thought to play an important role in increasing the rate of cumulative cultural evolution, the independent effect of dispersal rules on rates of cultural evolution has not been examined. Here, a computational model is used to explore the effect of dispersal on the rate of cultural evolution in traits transmitted patrilineally (from father to son), matrilineally (mother to daughter) and bilineally (through both sexes). Two dispersal conditions are modelled: patrilocality (where females disperse and males stay) and bilocality (where either sex may disperse). The results suggest that when only females disperse, the capacity for cumulative cultural evolution in traits shared only among males is severely constrained. This occurs even though overall rates of dispersal and the number of cultural models available to males and females are identical in both dispersal conditions. The constraints on the evolution of patrilineally inherited traits could be considered to represent a process of ‘cultural inbreeding', analogous to genetic inbreeding.


Author(s):  
Nicolas Bredeche ◽  
Nicolas Fontbonne

In this paper, we present an implementation of social learning for swarm robotics. We consider social learning as a distributed online reinforcement learning method applied to a collective of robots where sensing, acting and coordination are performed on a local basis. While some issues are specific to artificial systems, such as the general objective of learning efficient (and ideally, optimal) behavioural strategies to fulfill a task defined by a supervisor, some other issues are shared with social learning in natural systems. We discuss some of these issues, paving the way towards cumulative cultural evolution in robot swarms, which could enable complex social organization necessary to achieve challenging robotic tasks. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.


2020 ◽  
Vol 43 ◽  
Author(s):  
Elena Miu ◽  
Robert Boyd ◽  
Peter J. Richerson ◽  
Thomas J. H. Morgan

Abstract What promised to be a refreshing addition to cumulative cultural evolution, by moving the focus from cultural transmission to technological innovation, falls flat through a lack of thoroughness, explanatory power, and data. A comprehensive theory of cumulative cultural change must carefully integrate all existing evidence in a cohesive multi-level account. We argue that the manuscript fails to do so convincingly.


2008 ◽  
Vol 363 (1509) ◽  
pp. 3529-3539 ◽  
Author(s):  
Christine A Caldwell ◽  
Ailsa E Millen

Cumulative cultural evolution is the term given to a particular kind of social learning, which allows for the accumulation of modifications over time, involving a ratchet-like effect where successful modifications are maintained until they can be improved upon. There has been great interest in the topic of cumulative cultural evolution from researchers from a wide variety of disciplines, but until recently there were no experimental studies of this phenomenon. Here, we describe our motivations for developing experimental methods for studying cumulative cultural evolution and review the results we have obtained using these techniques. The results that we describe have provided insights into understanding the outcomes of cultural processes at the population level. Our experiments show that cumulative cultural evolution can result in adaptive complexity in behaviour and can also produce convergence in behaviour. These findings lend support to ideas that some behaviours commonly attributed to natural selection and innate tendencies could in fact be shaped by cultural processes.


Author(s):  
Manvir Singh ◽  
Alberto Acerbi ◽  
Christine A. Caldwell ◽  
Étienne Danchin ◽  
Guillaume Isabel ◽  
...  

Cultural evolution requires the social transmission of information. For this reason, scholars have emphasized social learning when explaining how and why culture evolves. Yet cultural evolution results from many mechanisms operating in concert. Here, we argue that the emphasis on social learning has distracted scholars from appreciating both the full range of mechanisms contributing to cultural evolution and how interactions among those mechanisms and other factors affect the output of cultural evolution. We examine understudied mechanisms and other factors and call for a more inclusive programme of investigation that probes multiple levels of the organization, spanning the neural, cognitive-behavioural and populational levels. To guide our discussion, we focus on factors involved in three core topics of cultural evolution: the emergence of culture, the emergence of cumulative cultural evolution and the design of cultural traits. Studying mechanisms across levels can add explanatory power while revealing gaps and misconceptions in our knowledge. This article is part of the theme issue ‘Foundations of cultural evolution’.


2018 ◽  
Author(s):  
Nicolas Fay ◽  
Naomi De Kleine ◽  
Bradley Walker ◽  
Christine Anna Caldwell

The extent to which larger populations enhance cumulative cultural evolution (CCE) is contentious. We report a large-scale experiment (N=543) that investigates the CCE of technology (paper planes and their flight distances) using a transmission chain design. Population size was manipulated such that participants could learn from the paper planes constructed by 1, 2 or 4 models from the prior generation. These social learning conditions were compared to an asocial Individual Learning condition in which individual participants made repeated attempts at constructing a paper plane, without having access to any planes produced by other participants. Larger populations generated greater variation in plane performance and gave participants access to better-adapted planes, but this did not enhance CCE. In fact, there was an inverse relationship between population size and CCE: plane flight distance did not improve over the experimental generations in the 2-Model and 4-Model conditions, but did improve over generations in the 1-Model social learning condition. The incremental improvement in plane flight distance in the 1-Model social learning condition was comparable to that in the Individual Learning condition, highlighting the importance of trial-and-error learning to artefact innovation and adaptation. In the context of this experiment, we conclude that larger populations do not enhance artefact performance via CCE, and that it may be only under certain specific conditions that larger population sizes enhance CCE.


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