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Communication Dans Un Congrès Année : 2008

Markov Decision Evolutionary Games with Time Average Expected Fitness Criterion * (Invited Paper)

Résumé

We present a class of evolutionary games involving large populations that have many pairwise interactions between randomly selected players. The fitness of a player depends not only on the actions chosen in the interaction but also on the individual state of the players. Players stay permanently in the system and participate infinitely often in local interactions with other randomly selected players. The actions taken by a player determine not only the immediate fitness but also the transition probabilities to its next individual state. We define and characterize the Evolutionary Stable Strategies (ESS) for these games and propose a method to compute them.

Dates et versions

hal-01314347 , version 1 (11-05-2016)

Identifiants

Citer

Eitan Altman, Yezekael Hayel, Hamidou Tembine, Rachid El-Azouzi. Markov Decision Evolutionary Games with Time Average Expected Fitness Criterion * (Invited Paper). ValueTools '08 Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools, Oct 2008, Athenes, Greece. ⟨10.4108/ICST.VALUETOOLS2008.4268⟩. ⟨hal-01314347⟩
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