Stochastic Evolution of Rules for Playing Finite Normal Form Games
Fabrizio Germano ()
Theory and Decision, 2007, vol. 62, issue 4, 333 pages
The evolution of boundedly rational rules for playing normal form games is studied within stationary environments of stochastically changing games. Rules are viewed as algorithms prescribing strategies for the different normal form games that arise. It is shown that many of the â€œfolk resultsâ€\x9D of evolutionary game theory, typically obtained with a fixed game and fixed strategies, carry over to the present environments. The results are also related to some recent experiments on rules and games. Copyright Springer Science+Business Media, LLC 2007
Keywords: bounded rationality; evolutionary dynamics; learning; normal form games; rules; stochastic dynamics; C72; C73; D81; D83 (search for similar items in EconPapers)
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