scholarly journals Paradox of diversity in the collective brain

Author(s):  
Robin Schimmelpfennig ◽  
Layla Razek ◽  
Eric Schnell ◽  
Michael Muthukrishna

Human societies are collective brains. People within every society have cultural brains—brains that have evolved to selectively seek out adaptive knowledge and socially transmit solutions. Innovations emerge at a population level through the transmission of serendipitous mistakes, incremental improvements and novel recombinations. The rate of innovation through these mechanisms is a function of (1) a society's size and interconnectedness (sociality), which affects the number of models available for learning; (2) fidelity of information transmission, which affects how much information is lost during social learning; and (3) cultural trait diversity, which affects the range of possible solutions available for recombination. In general, and perhaps surprisingly, all three levers can increase and harm innovation by creating challenges around coordination, conformity and communication. Here, we focus on the ‘paradox of diversity’—that cultural trait diversity offers the largest potential for empowering innovation, but also poses difficult challenges at both an organizational and societal level. We introduce ‘cultural evolvability’ as a framework for tackling these challenges, with implications for entrepreneurship, polarization and a nuanced understanding of the effects of diversity. This framework can guide researchers and practitioners in how to reap the benefits of diversity by reducing costs. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.

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’.


Author(s):  
S. Wild ◽  
M. Chimento ◽  
K. McMahon ◽  
D. R. Farine ◽  
B. C. Sheldon ◽  
...  

Recent well-documented cases of cultural evolution towards increasing efficiency in non-human animals have led some authors to propose that other animals are also capable of cumulative cultural evolution, where traits become more refined and/or complex over time. Yet few comparative examples exist of traits increasing in complexity, and experimental tests remain scarce. In a previous study, we introduced a foraging innovation into replicate subpopulations of great tits, the ‘sliding-door puzzle’. Here, we track diffusion of a second ‘dial puzzle’, before introducing a two-step puzzle that combines both actions. We mapped social networks across two generations to ask if individuals could: (1) recombine socially-learned traits and (2) socially transmit a two-step trait. Our results show birds could recombine skills into more complex foraging behaviours, and naïve birds across both generations could learn the two-step trait. However, closer interrogation revealed that acquisition was not achieved entirely through social learning—rather, birds socially learned components before reconstructing full solutions asocially. As a consequence, singular cultural traditions failed to emerge, although subpopulations of birds shared preferences for a subset of behavioural variants. Our results show that while tits can socially learn complex foraging behaviours, these may need to be scaffolded by rewarding each component. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.


Author(s):  
Alan F. T. Winfield ◽  
Susan Blackmore

This paper presents a series of experiments in collective social robotics, spanning more than 10 years, with the long-term aim of building embodied models of (aspects of) cultural evolution. Initial experiments demonstrated the emergence of behavioural traditions in a group of social robots programmed to imitate each other’s behaviours (we call these Copybots). These experiments show that the noisy (i.e. less than perfect fidelity) imitation that comes for free with real physical robots gives rise naturally to variation in social learning. More recent experimental work extends the robots’ cognitive capabilities with simulation-based internal models, equipping them with a simple artificial theory of mind. With this extended capability we explore, in our current work, social learning not via imitation but robot–robot storytelling, in an effort to model this very human mode of cultural transmission. In this paper, we give an account of the methods and inspiration for these experiments, the experiments and their results, and an outline of possible directions for this programme of research. It is our hope that this paper stimulates not only discussion but suggestions for hypotheses to test with the Storybots. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.


Author(s):  
Andrew Whiten ◽  
Rachel A. Harrison ◽  
Nicola McGuigan ◽  
Gillian L. Vale ◽  
Stuart K. Watson

Social learning in non-human primates has been studied experimentally for over 120 years, yet until the present century this was limited to what one individual learns from a single other. Evidence of group-wide traditions in the wild then highlighted the collective context for social learning, and broader ‘diffusion experiments’ have since demonstrated transmission at the community level. In the present article, we describe and set in comparative perspective three strands of our recent research that further explore the collective dimensions of culture and cumulative culture in chimpanzees. First, exposing small communities of chimpanzees to contexts incorporating increasingly challenging, but more rewarding tool use opportunities revealed solutions arising through the combination of different individuals' discoveries, spreading to become shared innovations. The second series of experiments yielded evidence of conformist changes from habitual techniques to alternatives displayed by a unanimous majority of others but implicating a form of quorum decision-making. Third, we found that between-group differences in social tolerance were associated with differential success in developing more complex tool use to exploit an increasingly inaccessible resource. We discuss the implications of this array of findings in the wider context of related studies of humans, other primates and non-primate species. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.


2021 ◽  
Author(s):  
Miriam Noël Haidle ◽  
Oliver Schlaudt

AbstractIn our recent article, "Where Does Cumulative Culture Begin? A Plea for a Sociologically Informed Perspective" (Haidle and Schlaudt in Biol Theory 15:161–174, 2020) we commented on a fundamental notion in current approaches to cultural evolution, the “zones of latent solutions” (henceforth ZLS), and proposed a modification of it, namely a social and dynamic interpretation of the latent solutions which were originally introduced within an individualistic framework and as static, genetically fixed entities. This modification seemed, and still seems, relevant to us and, in particular, more adequate for coping with the archaeological record. Bandini et al. (Biol Theory, 2021) rejected our proposition and deemed it unnecessary. In their critique, they focused on: (1) our reservations about an individualistic approach; (2) our objections to the presumption of fully naive individuals; and (3) our demand for an extended consideration of forms of social learning simpler than emulation and imitation. We will briefly reply to their critique in order to clarify some misunderstandings. However, the criticisms also show that we are at an impasse on certain crucial topics, such as the meaning of ZLS and the scope and nature of culture in general. Thus, we consider it necessary to make an additional effort to identify the conceptual roots which are at the very basis of the dissent with Bandini et al.


2021 ◽  
pp. 096372142199311
Author(s):  
Andrew Whiten

Culture—the totality of traditions acquired in a community by social learning from other individuals—has increasingly been found to be pervasive not only in humans’ but in many other animals’ lives. Compared with learning on one’s own initiative, learning from others can be very much safer and more efficient, as the wisdom already accumulated by other individuals is assimilated. This article offers an overview of often surprising recent discoveries charting the reach of culture across an ever-expanding diversity of species, as well as an extensive variety of behavioral domains, and throughout an animal’s life. The psychological reach of culture is reflected in the knowledge and skills an animal thus acquires, via an array of different social learning processes. Social learning is often further guided by a suite of adaptive psychological biases, such as conformity and learning from optimal models. In humans, cumulative cultural change over generations has generated the complex cultural phenomena observed today. Animal cultures have been thought to lack this cumulative power, but recent findings suggest that elementary versions of cumulative culture may be important in animals’ lives.


2017 ◽  
Author(s):  
Alex Mesoudi

AbstractHow do migration and acculturation (i.e. psychological or behavioral change resulting from migration) affect within- and between-group cultural variation? Here I answer this question by drawing analogies between genetic and cultural evolution. Population genetic models show that migration rapidly breaks down between-group genetic structure. In cultural evolution, however, migrants or their descendants can acculturate to local behaviors via social learning processes such as conformity, potentially preventing migration from eliminating between-group cultural variation. An analysis of the empirical literature on migration suggests that acculturation is common, with second and subsequent migrant generations shifting, sometimes substantially, towards the cultural values of the adopted society. Yet there is little understanding of the individual-level dynamics that underlie these population-level shifts. To explore this formally, I present models quantifying the effect of migration and acculturation on between-group cultural variation, for both neutral and costly cooperative traits. In the models, between-group cultural variation, measured using F statistics, is eliminated by migration and maintained by conformist acculturation. The extent of acculturation is determined by the strength of conformist bias and the number of demonstrators from whom individuals learn. Acculturation is countered by assortation, the tendency for individuals to preferentially interact with culturally-similar others. Unlike neutral traits, cooperative traits can additionally be maintained by payoff-biased social learning, but only in the presence of strong sanctioning institutions. Overall, the models show that surprisingly little conformist acculturation is required to maintain realistic amounts of between-group cultural diversity. While these models provide insight into the potential dynamics of acculturation and migration in cultural evolution, they also highlight the need for more empirical research into the individual-level learning biases that underlie migrant acculturation.


2018 ◽  
Vol 32 (4) ◽  
pp. 416-440 ◽  
Author(s):  
Renato J. Orsato ◽  
José Guilherme Ferraz de Campos ◽  
Simone R. Barakat

The literature discussing social learning for Anticipatory Adaptation to Climate Change (AACC) has largely been developed at the societal level of analysis. However, how private companies build resilience and reduce damage to their private goods remains underexplored. Since climate change involves high levels of uncertainty and complexity, companies seeking to proactively adapt to climate change are required to search for specific and nontraditional knowledge. In order to contribute to this discussion, we investigated how a community of practice promotes social learning for AACC. We access the social learning emerging from the community of practice by developing a framework that can also be applied to other complex problems faced by companies. We found evidence of the centrality of social learning for the development of strategies and practices addressing grand corporate challenges, such as AACC. The results contribute to both the literature of social learning and the practice of sustainability management.


2017 ◽  
Vol 114 (30) ◽  
pp. 7830-7837 ◽  
Author(s):  
Lucy M. Aplin ◽  
Ben C. Sheldon ◽  
Richard McElreath

Social learning is important to the life history of many animals, helping individuals to acquire new adaptive behavior. However despite long-running debate, it remains an open question whether a reliance on social learning can also lead to mismatched or maladaptive behavior. In a previous study, we experimentally induced traditions for opening a bidirectional door puzzle box in replicate subpopulations of the great titParus major. Individuals were conformist social learners, resulting in stable cultural behaviors. Here, we vary the rewards gained by these techniques to ask to what extent established behaviors are flexible to changing conditions. When subpopulations with established foraging traditions for one technique were subjected to a reduced foraging payoff, 49% of birds switched their behavior to a higher-payoff foraging technique after only 14 days, with younger individuals showing a faster rate of change. We elucidated the decision-making process for each individual, using a mechanistic learning model to demonstrate that, perhaps surprisingly, this population-level change was achieved without significant asocial exploration and without any evidence for payoff-biased copying. Rather, by combining conformist social learning with payoff-sensitive individual reinforcement (updating of experience), individuals and populations could both acquire adaptive behavior and track environmental change.


Author(s):  
Cathal O'Madagain ◽  
Michael Tomasello

The biological approach to culture focuses almost exclusively on processes of social learning, to the neglect of processes of cultural coordination including joint action and shared intentionality. In this paper, we argue that the distinctive features of human culture derive from humans' unique skills and motivations for coordinating with one another around different types of action and information. As different levels of these skills of ‘shared intentionality’ emerged over the last several hundred thousand years, human culture became characterized first by such things as collaborative activities and pedagogy based on cooperative communication, and then by such things as collaborative innovations and normatively structured pedagogy. As a kind of capstone of this trajectory, humans began to coordinate not just on joint actions and shared beliefs, but on the reasons for what we believe or how we act. Coordinating on reasons powered the kinds of extremely rapid innovation and stable cumulative cultural evolution especially characteristic of the human species in the last several tens of thousands of years. This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.


Sign in / Sign up

Export Citation Format

Share Document