Asynchronous Evolution of Pairs - How spatial evolution leads to inequality

Oliver Kirchkamp

Game Theory and Information from University Library of Munich, Germany

Abstract: We present a simple model of spatial evolution that avoids several problems that arise with more complex networks of players. We consider a world where pairs of players are matched forever. These players learn from the whole population but they are more likely to learn to strategies used by their partners. Thus, several features of spatial evolution are captured while nonlinearities that would arise with more complex networks are avoided. We can identify characteristics of evolution in networks such as stable cooperation in prisoners' dilemma games and long run exploitation among different strategies. We further discuss evolution of repeated game strategies in this framework comparing synchronous models with asynchronous ones.

Keywords: Evolutionary Game Theory; Networks (search for similar items in EconPapers)
JEL-codes: C72 D62 D63 R12 R13 (search for similar items in EconPapers)
Pages: 30 pages
Date: 1995-10-30
Note: Type of Document - Postscript; prepared on NeXT; to print on PostScript; pages: 30; figures: included. The most current electronic version is available at http://witch.econ3.uni- bonn.de/~oliver/evolPair.shtml
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpga:9510004

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