Evolution of Strategies in Repeated Stochastic Games

Anders Eriksson and Kristian Lindgren

Working Papers from Santa Fe Institute

Abstract: A framework for studying the evolution of cooperative behaviour, using evolution of finite state strategies, is presented. The interaction between agents is modelled by a repeated game with random observable payoffs. The agents are thus faced with a more complex (and general) situation, compared to the Prisoner Õs Dilemma that has been widely used for in- vestigating the conditions for cooperation in evolving populations. Still, there is a robust cooperating strategy that usually evolves in a population of agents. In the cooperative mode, this strategy selects an action that al- lows for maximizing the payoff sum of both players in each round, regard- less of the own payoff. Two such strategies maximize the expected total payoff. If the opponent deviates from this scheme, the strategy invokes a punishment action, which for example could be to aim for the single round Nash equilibrium for the rest of the (possibly infinitely) repeated game. The introduction of mistakes to game actually pushes evolution to more cooperative, even though at first sight, it makes the game more cooperative

Date: 2001-04
New Economics Papers: this item is included in nep-evo
References: View references in EconPapers View complete reference list from CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wop:safiwp:01-04-023

Access Statistics for this paper

More papers in Working Papers from Santa Fe Institute Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().