Survey of evolutionary computation methods in social agent-based modeling studies

Peter Revay () and Claudio Cioffi-Revilla ()
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Peter Revay: George Mason University
Claudio Cioffi-Revilla: George Mason University

Journal of Computational Social Science, 2018, vol. 1, issue 1, No 8, 115-146

Abstract: Abstract Agent-based modeling is a well-established discipline today with a rich and vibrant research community. The field of evolutionary computation (EC) is also well recognized within the larger family of computational sciences. In the past decades many agent-based modeling studies of social systems have used EC methods to tackle various research questions. Despite the relative frequency of such efforts, no systematic review of the use of evolutionary computation in agent-based modeling has been put forth. Here, we review a number of prominent agent-based models of social systems that employ evolutionary algorithms as a method. We comment on some theoretical considerations, the state of current practice, and suggest some best practices for future work.

Keywords: Agent-based modeling; Evolutionary computation; Evolutionary algorithms; Survey (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s42001-017-0003-8

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