scholarly journals Beyond social learning

2021 ◽  
Vol 376 (1828) ◽  
Author(s):  
Manvir Singh ◽  
Alberto Acerbi ◽  
Christine A. Caldwell ◽  
Étienne Danchin ◽  
Guillaume Isabel ◽  
...  
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Full Range ◽  
Explanatory Power ◽  
Theme Issue ◽  
Cognitive Behavioural ◽  
The Social ◽  
Transmission Of Information ◽  
Multiple Levels ◽  
Cumulative Cultural Evolution

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’.

Copy the In-group: Group Membership Trumps Perceived Reliability, Warmth, and Competence in a Social-Learning Task

2021 ◽  
pp. 095679762110322
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Learning Strategy ◽  
Group Membership ◽  
Social Groups ◽  
Learning Task ◽  
Minimal Group Paradigm ◽  
Learning Game ◽  
Group Members ◽  
Cumulative Cultural Evolution

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.

scholarly journals The evolution of high-fidelity social learning

2020 ◽  
Vol 287 (1928) ◽  
pp. 20200090
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Bayesian Model ◽  
Individual Learning ◽  
High Fidelity ◽  
Human Culture ◽  
Cumulative Cultural Evolution ◽  
Over Time

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.

The Reasoned Action Model

2012 ◽  
Vol 640 (1) ◽  
pp. 58-80 ◽  
Author(s):  
James Jaccard
Keyword(s):  
Short Term Memory ◽  
Reasoned Action ◽  
Full Range ◽  
Explanatory Power ◽  
Future Research ◽  
Short Term ◽  
Individual Level ◽  
Reasoned Action Model ◽  
The Social ◽  
Action Model

The reasoned action model (RAM) of Fishbein and Ajzen has been highly influential in the social and health sciences. This article describes three areas for future research that should expand its explanatory power. One area of research focuses on an idiographic RAM that encourages researchers to pursue the estimation of RAM parameters on a per-individual level rather than through traditional nomothetic modeling. The second area encourages scientists to develop a split-second RAM, that is, a RAM that can provide perspectives on the split-second decisions people make in everyday life. Integration of the RAM with models of working (short-term) memory is stressed. The third area for research encourages scientists to develop a multioption RAM that incorporates and is responsive to the choices that people make when confronted with multiple alternatives. This perspective stresses the need to apply the RAM to the full range of behavioral options that are available to people as they contemplate performing one behavior versus another. Perspectives for theoretical advancement in each area are developed.

scholarly journals The evolution of social learning as phenotypic cue integration

2021 ◽  
Vol 376 (1828) ◽  
Author(s):  
Bram Kuijper ◽  
Olof Leimar ◽  
Peter Hammerstein ◽  
John M. McNamara ◽  
Sasha R. X. Dall
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Individual Learning ◽  
Cue Integration ◽  
Bet Hedging ◽  
Epigenetic Factors ◽  
Multiple Forms ◽  
Theme Issue ◽  
Fluctuating Environments ◽  
Selective Environment

Most analyses of the origins of cultural evolution focus on when and where social learning prevails over individual learning, overlooking the fact that there are other developmental inputs that influence phenotypic fit to the selective environment. This raises the question of how the presence of other cue ‘channels’ affects the scope for social learning. Here, we present a model that considers the simultaneous evolution of (i) multiple forms of social learning (involving vertical or horizontal learning based on either prestige or conformity biases) within the broader context of other evolving inputs on phenotype determination, including (ii) heritable epigenetic factors, (iii) individual learning, (iv) environmental and cascading maternal effects, (v) conservative bet-hedging, and (vi) genetic cues. In fluctuating environments that are autocorrelated (and hence predictable), we find that social learning from members of the same generation (horizontal social learning) explains the large majority of phenotypic variation, whereas other cues are much less important. Moreover, social learning based on prestige biases typically prevails in positively autocorrelated environments, whereas conformity biases prevail in negatively autocorrelated environments. Only when environments are unpredictable or horizontal social learning is characterized by an intrinsically low information content, other cues such as conservative bet-hedging or vertical prestige biases prevail. This article is part of the theme issue ‘Foundations of cultural evolution’.

scholarly journals Social learning in swarm robotics

2021 ◽  
Vol 377 (1843) ◽  
Author(s):  
Nicolas Bredeche ◽  
Nicolas Fontbonne
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Swarm Robotics ◽  
Collective Knowledge ◽  
Cumulative Culture ◽  
Natural Systems ◽  
Robot Swarms ◽  
Cumulative Cultural Evolution ◽  
Robotic Tasks ◽  
Behavioural Strategies

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’.

Brain-Mind

2019 ◽  
Author(s):  
Paul Thagard
Keyword(s):  
Social Sciences ◽  
Natural Philosophy ◽  
Full Range ◽  
Neural Mechanisms ◽  
Comprehensive Treatment ◽  
Cognition And Emotion ◽  
The Social ◽  
Multiple Levels ◽  
The Mind ◽  
Action Intention

Minds enable people to perceive, imagine, solve problems, understand, learn, speak, reason, create, and be emotional and conscious. Competing explanations of how the mind works have identified it as soul, computer, brain, dynamical system, or social construction. This book explains minds in terms of interacting mechanisms operating at multiple levels, including the social, mental, neural, and molecular. Brain–Mind presents a unified, brain-based theory of cognition and emotion with applications to the most complex kinds of thinking, right up to consciousness and creativity. Unification comes from systematic application of Chris Eliasmith’s powerful new Semantic Pointer Architecture, a highly original synthesis of neural network and symbolic ideas about how the mind works. The book shows the relevance of semantic pointers to a full range of important kinds of mental representations, from sensations and imagery to concepts, rules, analogies, and emotions. Neural mechanisms are used to explain many phenomena concerning consciousness, action, intention, language, creativity, and the self. This book belongs to a trio that includes Mind–Society: From Brains to Social Sciences and Professions and Natural Philosophy: From Social Brains to Knowledge, Reality, Morality, and Beauty. They can be read independently, but together they make up a Treatise on Mind and Society that provides a unified and comprehensive treatment of the cognitive sciences, social sciences, professions, and humanities.

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

2020 ◽  
Vol 2 (14) ◽  
pp. 177-235
Author(s):  
George F. Steiner
Keyword(s):  
Social Learning ◽  
Cultural Change ◽  
Cultural Evolution ◽  
Cultural Models ◽  
Isolated Populations ◽  
Apparent Paradox ◽  
Coevolution Theory ◽  
Cumulative Cultural Evolution ◽  
And Function ◽  
Efficient Transmission

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.

A theory limited in scope and evidence

2020 ◽  
Vol 43 ◽  
Author(s):  
Elena Miu ◽  
Robert Boyd ◽  
Peter J. Richerson ◽  
Thomas J. H. Morgan
Keyword(s):  
Technological Innovation ◽  
Cultural Change ◽  
Cultural Evolution ◽  
Cultural Transmission ◽  
Explanatory Power ◽  
Comprehensive Theory ◽  
Multi Level ◽  
Cumulative Cultural Evolution ◽  
Do So

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.

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