EVOLVING NETWORKS PROMOTES COOPERATION IN PUBLIC GOODS GAMES

A. L. C. Bazzan () and V. F. Argenta ()
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A. L. C. Bazzan: Instituto de Informática, UFRGS, C.P. 15064, 91501-970 P. Alegre, RS, Brazil
V. F. Argenta: Instituto de Informática, UFRGS, C.P. 15064, 91501-970 P. Alegre, RS, Brazil

Advances in Complex Systems (ACS), 2012, vol. 15, issue 05, 1-21

Abstract: Evolution of cooperation has attracted considerable attention but so far no definitive answer exists. Probably each kind of problem has specific answers. This paper deals with evolution of cooperation in public goods games. We use random Boolean networks to formalize the non-local influence ofKagents over a given agent. This formalism allows the representation of a variety of network regulation mechanisms by means of (i) different topologies and (ii) Boolean functions that do the regulation proper. However,randomfunctions and connections do not necessarily lead to cooperation. Thus, it is necessary to find what kind of network structure is prone to promote cooperation. We employ an evolutionary approach to show that evolving the topologies and the random functions leads to much fitter structures.

Keywords: Public goods game; random Boolean networks; genetic algorithms (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1142/S0219525912500270

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