NDLI: Networks preserving evolutionary equilibria and the power of randomization

Content Provider	ACM Digital Library
Author	Suri, Siddharth Kearns, Michael
Abstract	We study a natural extension of classical evolutionary game theory to a setting in which pairwise interactions are restricted to the edges of an undirected graph or network. We generalize the definition of an evolutionary stable strategy (ESS), and show a pair of complementary results that exhibit the power of randomization in our setting: subject to degree or edge density conditions, the classical ESS of any game are preserved when the graph is chosen randomly and the mutation set is chosen adversarially, or when the graph is chosen adversarially and the mutation set is chosen randomly. We examine natural strengthenings of our generalized ESS definition, and show that similarly strong resultsnare not possible for them.
Starting Page	200
Ending Page	207
Page Count	8
File Format	PDF
ISBN	1595932364
DOI	10.1145/1134707.1134729
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-06-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Networks Game theory Evolutionary stable strategy
Content Type	Text
Resource Type	Article

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Networks preserving evolutionary equilibria and the power of randomization