Overview
- Cultural algorithm has three major components: a population space, a belief space, and a communication protocol that describes how these components exchange knowledge
- Author originated the cultural algorithm, a branch of evolutionary computing
- Applications in understanding social evolution
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (9 chapters)
Keywords
About this book
Authors and Affiliations
About the author
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
Book Title: Culture on the Edge of Chaos
Book Subtitle: Cultural Algorithms and the Foundations of Social Intelligence
Authors: Robert G. Reynolds
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-74171-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-74169-7Published: 14 May 2018
eBook ISBN: 978-3-319-74171-0Published: 02 May 2018
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: VIII, 108
Number of Illustrations: 15 b/w illustrations, 52 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Computer Appl. in Social and Behavioral Sciences, Computational Social Sciences