© 2018

Culture on the Edge of Chaos

Cultural Algorithms and the Foundations of Social Intelligence


Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Robert G. Reynolds
    Pages 13-25
  3. Robert G. Reynolds
    Pages 27-40
  4. Robert G. Reynolds
    Pages 41-44
  5. Robert G. Reynolds
    Pages 45-51
  6. Robert G. Reynolds
    Pages 53-57
  7. Robert G. Reynolds
    Pages 77-100
  8. Robert G. Reynolds
    Pages 101-104
  9. Back Matter
    Pages 105-108

About this book


The author first introduces the basic framework for cultural algorithms and he then explains the social structure of a cultural system as a mechanism for the distribution of problem-solving information throughout a population. Three different models for social organizations are presented: the homogeneous (nuclear family), heterogeneous (expanded family), and subculture (descent groups) social models. The chapters that follow compare the learning capabilities of these social organizations relative to problems of varying complexity. The book concludes with a discussion of how the results can impact our understanding of social evolution.


Cultural Algorithms Social Intelligence Social Evolution Evolutionary Computing Computational Intelligence Social Fabric Data Science

Authors and affiliations

  1. 1.Computer Science DepartmentWayne State UniversityDetroitUSA

About the authors

Prof. Robert G. Reynolds is a professor of computer science in the College of Engineering of Wayne State University, and a Visiting Research Scientist at the Museum of Anthropological Archaeology and the Center for Complex Systems at the University of Michigan, Ann Arbor. He developed the Cultural Algorithms paradigm, and has given invited talks on this topic at conferences such as WCCI and SSCI.

Bibliographic information

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