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Pareto efficiency, simple game stability, and social structure in finitely repeated games

Bibliographic Data

ID10142434
AuthorsGregory B Pollock (Arizona State University, corresponding author)
Year1995
Volume20
Issue1
Pages55-72
Publication date1995-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Mathematical Sociology (JOURNAL)
Journal identifiersISSN: 0022-250X • E-ISSN: 1545-5874
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/0022250x.1995.9990152
OpenAlexW2022484844
LanguageEN
References cited49

Simple game (sensu Brown and Vincent, 1987) evolutionary theory, when coupled with social structure measured as non‐random encounter of strategy “clones”, often permits equilibrium refinement leading to Pareto superior outcomes (e.g., Axelrod, 1981; Myerson et al., 1991), a foundational goal of economic game theory (Myerson, 1991: 370–375). This conclusion, derived from analyses of one‐shot and infinitely repeated games, fails for finitely repeated games. While mutant cluster invasion enhances Pareto efficiency of equilibria in the former, it can depress Pareto efficiency in the latter. Cooperative equilibria of finitely repeated games (under economic analysis) can be susceptible to cluster‐invasion by even more Pareto efficient strategies which are not themselves evolutionarily stable. Evolutionary (simple) game theory's ability to eliminate Pareto inferior Nash equilibrium strategies induces vulnerabilities foreign to economic analysis. Simple game analysis of finitely repeated games suggests that social structure, modeled as perennial invasion by mutant‐clusters, can induce cyclic invasion, saturation, and loss of cooperation

Economics · Game theory · Mathematical economics · Mathematical optimization · Nash equilibrium · Pareto efficiency · Pareto principle · Repeated game · Simple (philosophy · Evolution and Genetic Dynamics · Evolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Mathematics

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