Conclusions

2013 ◽  
Author(s):  
William Hoppitt ◽  
Kevin N. Laland
Keyword(s):  
Social Learning ◽  
Mathematical Models ◽  
Learning Strategies ◽  
Cultural Evolution ◽  
Learning Mechanisms ◽  
Diffusion Data ◽  
History Of ◽  
Learning Research ◽  
Key Terms ◽  
Social Learning Strategies

This concluding chapter summarizes the different social learning concepts and methods explored in the book, beginning with definitions of some key terms such as social learning, social transmission, imitation, and innovation. The book has discussed the history of social learning research, methods for studying social learning in the laboratory, social learning mechanisms, statistical methods for diffusion data, repertoire-based data, and developmental approaches. It has also examined social learning strategies and some of the mathematical models that can be applied to investigate social learning, cultural evolution, and gene-culture coevolution. A key emphasis throughout the book has been that mathematical and statistical modeling is at its most powerful when tightly integrated with empirical research.

Social Learning

2013 ◽  
Author(s):  
William Hoppitt ◽  
Kevin N. Laland
Keyword(s):  
Spatial Distribution ◽  
Social Learning ◽  
Learning Strategies ◽  
Cognitive Neuroscience ◽  
Cultural Evolution ◽  
Experimental Psychology ◽  
Academic Disciplines ◽  
Mathematical Methods ◽  
Indispensable Tool ◽  
Social Learning Strategies

Many animals, including humans, acquire valuable skills and knowledge by copying others. Scientists refer to this as social learning. It is one of the most exciting and rapidly developing areas of behavioral research and sits at the interface of many academic disciplines, including biology, experimental psychology, economics, and cognitive neuroscience. This book provides a comprehensive, practical guide to the research methods of this important emerging field. It defines the mechanisms thought to underlie social learning and demonstrate how to distinguish them experimentally in the laboratory. It presents techniques for detecting and quantifying social learning in nature, including statistical modeling of the spatial distribution of behavior traits. It also describes the latest theory and empirical findings on social learning strategies, and introduces readers to mathematical methods and models used in the study of cultural evolution. This book is an indispensable tool for researchers and an essential primer for students.

The Adaptive Use of Prestige-Biased Social Learning in an Online, Knowledge-Based Task

2019 ◽  
Author(s):  
Charlotte Olivia Brand ◽  
Stephen Heap ◽  
Tom Morgan ◽  
Alex Mesoudi
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Cultural Evolution ◽  
General Knowledge ◽  
Basic Assumptions ◽  
Knowledge Based ◽  
Adaptive Use ◽  
Ecological Success ◽  
Cumulative Cultural Evolution ◽  
Social Learning Strategies

Prestige-biased social learning occurs when individuals preferentially learn from others who are highly respected, admired, copied, or attended to in their group. This form of social learning is argued to reflect novel forms of social hierarchy in human societies, and, by providing an efficient short-cut to acquiring adaptive information, underpin the cumulative cultural evolution that has contributed to our species’ ecological success. Despite these potentially important consequences, little experimental evidence to date has tested the basic assumptions of prestige-biased social learning. Here we provide evidence supporting the key predictions that prestige-biased social learning is used only when it constitutes an indirect cue of success, and when success-biased social learning is unavailable. We ran an online experiment (n=300) in which participants could copy each other in real-time to score points on a general-knowledge quiz. Our implementation of ‘prestige’ was the number of times someone had previously been copied by others. We found that, as predicted, participants used prestige-biased social learning when the prestige cue was an indirect cue of success, and when direct success information was unavailable. This highlights how people flexibly and adaptively employ social learning strategies based on the reliability of the information that such strategies provide.

scholarly journals Blackboxing: social learning strategies and cultural evolution

2016 ◽  
Vol 371 (1693) ◽  
pp. 20150369 ◽  
Author(s):  
Cecilia Heyes
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Cognitive Processes ◽  
Cultural Evolution ◽  
Digital Natives ◽  
Artificial Agents ◽  
The Social ◽  
The Relationship ◽  
Social Learning Strategies ◽  
Better Than

Social learning strategies (SLSs) enable humans, non-human animals, and artificial agents to make adaptive decisions about when they should copy other agents, and who they should copy. Behavioural ecologists and economists have discovered an impressive range of SLSs, and explored their likely impact on behavioural efficiency and reproductive fitness while using the ‘phenotypic gambit’; ignoring, or remaining deliberately agnostic about, the nature and origins of the cognitive processes that implement SLSs. Here I argue that this ‘blackboxing' of SLSs is no longer a viable scientific strategy. It has contributed, through the ‘social learning strategies tournament', to the premature conclusion that social learning is generally better than asocial learning, and to a deep puzzle about the relationship between SLSs and cultural evolution. The puzzle can be solved by recognizing that whereas most SLSs are ‘planetary'—they depend on domain-general cognitive processes—some SLSs, found only in humans, are ‘cook-like'—they depend on explicit, metacognitive rules, such as copy digital natives . These metacognitive SLSs contribute to cultural evolution by fostering the development of processes that enhance the exclusivity, specificity, and accuracy of social learning.

Strong conformity requires a greater proportion of asocial learning and achieves lower fitness than a payoff-based equivalent

2018 ◽  
Vol 26 (6) ◽  
pp. 323-333
Author(s):  
Matt Grove
Keyword(s):  
Social Learning ◽  
Theoretical Analysis ◽  
Environmental Change ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Individual Learning ◽  
Heterogeneous Environments ◽  
The One ◽  
Social Learning Strategies

There is a growing interest in the relative benefits of the different social learning strategies used to transmit information between conspecifics and in the extent to which they require input from asocial learning. Two strategies in particular, conformist and payoff-based social learning, have been subject to considerable theoretical analysis, yet previous models have tended to examine their efficacy in relation to specific parameters or circumstances. This study employs individual-based simulations to derive the optimal proportion of individual learning that coexists with conformist and payoff-based strategies in populations experiencing wide-ranging variation in levels of environmental change, reproductive turnover, learning error and individual learning costs. Results demonstrate that conformity coexists with a greater proportion of asocial learning under all parameter combinations, and that payoff-based social learning is more adaptive in 97.43% of such combinations. These results are discussed in relation to the conjecture that the most successful social learning strategy will be the one that can persist with the lowest frequency of asocial learning, and the possibility that punishment of non-conformists may be required for conformity to confer adaptive benefits over payoff-based strategies in temporally heterogeneous environments.

scholarly journals Social learning strategies regulate the wisdom and madness of interactive crowds

2018 ◽  
Author(s):  
Wataru Toyokawa ◽  
Andrew Whalen ◽  
Kevin N. Laland
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Group Size ◽  
Collective Intelligence ◽  
Collective Wisdom ◽  
The Social ◽  
Challenging Tasks ◽  
Task Uncertainty ◽  
The Individual ◽  
Social Learning Strategies

AbstractWhy groups of individuals sometimes exhibit collective ‘wisdom’ and other times maladaptive ‘herding’ is an enduring conundrum. Here we show that this apparent conflict is regulated by the social learning strategies deployed. We examined the patterns of human social learning through an interactive online experiment with 699 participants, varying both task uncertainty and group size, then used hierarchical Bayesian model-ftting to identify the individual learning strategies exhibited by participants. Challenging tasks elicit greater conformity amongst individuals, with rates of copying increasing with group size, leading to high probabilities of herding amongst large groups confronted with uncertainty. Conversely, the reduced social learning of small groups, and the greater probability that social information would be accurate for less-challenging tasks, generated ‘wisdom of the crowd’ effects in other circumstances. Our model-based approach provides evidence that the likelihood of collective intelligence versus herding can be predicted, resolving a longstanding puzzle in the literature.

scholarly journals Social learning strategies

2004 ◽  
Vol 32 (1) ◽  
pp. 4-14 ◽  
Author(s):  
Kevin N. Laland
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Social Learning Strategies

Cognitive culture: theoretical and empirical insights into social learning strategies

2011 ◽  
Vol 15 (2) ◽  
pp. 68-76 ◽  
Author(s):  
Luke Rendell ◽  
Laurel Fogarty ◽  
William J.E. Hoppitt ◽  
Thomas J.H. Morgan ◽  
Mike M. Webster ◽  
...  
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Social Learning Strategies

scholarly journals Testing differential use of payoff-biased social learning strategies in children and chimpanzees

2017 ◽  
Vol 284 (1868) ◽  
pp. 20171751 ◽  
Author(s):  
Gillian L. Vale ◽  
Emma G. Flynn ◽  
Jeremy Kendal ◽  
Bruce Rawlings ◽  
Lydia M. Hopper ◽  
...  
Keyword(s):  
Social Learning ◽  
Learning Strategies ◽  
Cultural Transmission ◽  
The Difference ◽  
Beneficial Traits ◽  
Children’S Behaviour ◽  
Social Exposure ◽  
Reward Information ◽  
Social Learning Strategies ◽  
Exchange Behaviour

Various non-human animal species have been shown to exhibit behavioural traditions. Importantly, this research has been guided by what we know of human culture, and the question of whether animal cultures may be homologous or analogous to our own culture. In this paper, we assess whether models of human cultural transmission are relevant to understanding biological fundamentals by investigating whether accounts of human payoff-biased social learning are relevant to chimpanzees ( Pan troglodytes ). We submitted 4- and 5-year-old children ( N = 90) and captive chimpanzees ( N = 69) to a token–reward exchange task. The results revealed different forms of payoff-biased learning across species and contexts. Specifically, following personal and social exposure to different tokens, children's exchange behaviour was consistent with proportional imitation, where choice is affected by both prior personally acquired and socially demonstrated token–reward information. However, when the socially derived information regarding token value was novel, children's behaviour was consistent with proportional observation; paying attention to socially derived information and ignoring their prior personal experience. By contrast, chimpanzees' token choice was governed by their own prior experience only, with no effect of social demonstration on token choice, conforming to proportional reservation. We also find evidence for individual- and group-level differences in behaviour in both species. Despite the difference in payoff strategies used, both chimpanzees and children adopted beneficial traits when available. However, the strategies of the children are expected to be the most beneficial in promoting flexible behaviour by enabling existing behaviours to be updated or replaced with new and often superior ones.

A Brief History of Social Learning Research

2013 ◽  
Author(s):  
William Hoppitt ◽  
Kevin N. Laland
Keyword(s):  
Social Learning ◽  
Diffusion Of Innovations ◽  
Fourth Century ◽  
Historical Background ◽  
Behavioral Repertoire ◽  
History Of Research ◽  
History Of ◽  
Learning Research ◽  
Evolution Of Mind ◽  
Animal Culture

This chapter provides a brief historical background to social learning research. The history of research into social learning and imitation dates back to Aristotle, who explicitly made the claim that animals acquire behavior through imitation and other forms of social learning. Aristotle was particularly impressed with the human imitative tendency. The three insights made in the fourth century BC—that humans are uncharacteristically reliant on imitative learning compared to other animals, that young children in particular acquire important aspects of their behavioral repertoire through copying, and that imitation appears intrinsically rewarding to children—are remarkably relevant to contemporary social learning research. The chapter examines how investigations of social learning have been central to research into the evolution of mind, the mechanisms of social learning, animal culture, the diffusion of innovations, child development, and cultural evolution.

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