A Computational Model of Two Cognitive Transitions Underlying Cultural Evolution

We tested the computational feasibility of the proposal that open-ended cultural evolution was made possible by two cognitive transitions: (1) onset of the capacity to chain thoughts together, followed by (2) onset of contextual focus (CF): the capacity to shift between a divergent mode of thought conducive to 'breaking out of a rut' and a convergent mode of thought conducive to minor modifications. These transitions were simulated in EVOC, an agent-based model of cultural evolution, in which the fitness of agents' actions increases as agents invent ideas for new actions, and imitate the fittest of their neighbors' actions. Both mean fitness and diversity of actions across the society increased with chaining, and even more so with CF, as hypothesized. CF was only effective when the fitness function changed, which supports its hypothesized role in generating and refining ideas.

[1]  Kirsty Kitto,et al.  Concept Combination and the Origins of Complex Cognition , 2013, ArXiv.

[2]  R. Byrne,et al.  Priming primates: Human and otherwise , 1998, Behavioral and Brain Sciences.

[3]  Brian Hazlehurst,et al.  Learning in the Cultural Process , 2000 .

[4]  Stephen Tomkins,et al.  The Origins of Humankind , 1998 .

[5]  John J. McGrath,et al.  Brain and Culture: Neurobiology, Ideology, and Social Change , 2006 .

[6]  Liane Gabora,et al.  How creative should creators be to optimize the evolution of ideas? : A computational model , 2009 .

[7]  A. Jonker Origins of the modern mind. Three stages in the evolution of culture and cognition , 1998 .

[8]  Steve R. DiPaola,et al.  Incorporating characteristics of human creativity into an evolutionary art algorithm , 2007, GECCO '07.

[9]  David A. Leavens,et al.  Theory of mind in nonhuman primates , 1998, Behavioral and Brain Sciences.

[10]  L. Cosmides,et al.  The Adapted Mind , 1992 .

[11]  Liane Gabora,et al.  Contextual Focus: A Cognitive Explanation for the Cultural Revolution of the Middle/Upper Paleolithic , 2013, 1309.2609.

[12]  Simon Kirby,et al.  Spontaneous evolution of linguistic structure-an iterated learning model of the emergence of regularity and irregularity , 2001, IEEE Trans. Evol. Comput..

[13]  J. Cusack Creative Cognition: Theory, Research, and Applications , 1994 .

[14]  Robin I. M. Dunbar Coevolution of neocortical size, group size and language in humans , 1993, Behavioral and Brain Sciences.

[15]  M. Feldman,et al.  Cultural transmission and evolution: a quantitative approach. , 1981, Monographs in population biology.

[16]  Melanie Mitchell,et al.  Relative Building-Block Fitness and the Building Block Hypothesis , 1992, FOGA.

[17]  A. Brooks,et al.  The revolution that wasn't: a new interpretation of the origin of modern human behavior. , 2000, Journal of human evolution.

[18]  Steven Mithen,et al.  Creativity in Human Evolution and Prehistory , 2005 .

[19]  Geoffrey E. Hinton,et al.  How Learning Can Guide Evolution , 1996, Complex Syst..

[20]  Susan Cachel,et al.  The human career: Human biological and cultural origins , 2000 .

[21]  Paul G. Higgs The mimetic transition: a simulation study of the evolution of learning by imitation , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[22]  Liane Gabora,et al.  Meme and Variations: A Computer Model of Cultural Evolution , 2013, ArXiv.

[23]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .