Germano, FabrizioUniversitat Pompeu Fabra. Departament d'Economia i Empresa2020-05-252020-05-252004-06-01Theory and Decision (2007) 62: 311-333http://hdl.handle.net/10230/1017The 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 folk results of evolutionary game theory typically obtained with a fixed game and fixed strategies carry over to the present case. The results are also related to recent experiments on rules and games.application/pdfengL'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commonsinfo:eu-repo/semantics/workingPaperrulesevolutionary dynamicsstochastic dynamicsbounded rationalitylearningnormal form gamesMicroeconomicsinfo:eu-repo/semantics/openAccess