The Prisoners' DilemmaDate: 12/8/95 at 6:48:23 From: Anonymous Subject: The Prisoners' Dilemma Hi ! I'm looking for a paper - or some material - about "the prisoners' problem." [Two prisoners are about to go to jail. Both are give a choice: Confess/deny => risk no/reduced/full sentence, dependent on the other] I have searched forums for gametrees and decision-modelling, but can't find anything really great. :-) Can "The Swat Team" help me? Tim Date: 12/8/95 at 8:35:50 From: Sarah Seastone Subject: The Prisoners' Dilemma Hi Tim - There's a lot of good material on the 'Prisoners' Problem', also known as the 'Prisoners' Dilemma', and a game that uses it, on the Web at: http://serendip.brynmawr.edu/~ann/pd.html The game is called Serendip and there's a link to a page that tells you what's important about the problem: "Prisoners' Dilemma is a game which has been and continues to be studied by people in a variety of disciplines, ranging from biology through sociology and public policy. Among its interesting characteristics are that it is a "non-zero-sum" game: the best strategy for a given player is often one that increases the payoff to one's partner as well. It has also been shown that there is no single "best" strategy: how to maximize one's own payoff depends on the strategy adopted by one's partner. "Serendip uses a particular strategy (called "tit for tat") which is believed to be optimal under the widest possible set of partner strategies. "A superb introduction to Prisoners' Dilemma, including both original studies of strategies and discussion of the game's broader significance is Robert Axelrod's _The Evolution of Cooperation_ (Basic Books, NY, 1984). A more recent popular discussion is W. Poundstone, _Prisoners' Dilemma_, Anchor Books, Doubleday, NY, 1993). "There is also a web reference at Prisoners' Dilemma, from Principia Cybernetica: http://pespmc1.vub.ac.be/PRISDIL.html "Recent, more technical papers related to Prisoners' Dilemma: Godfray, H.C.J. (1992) The evolution of forgiveness. Nature 355: 206-207 Nowak, M.A. and Sigmund, K. (1992) Tit for tat in heterogeneous populations. Nature 355: 250-253." -- Sarah Seastone Web Archivist The Math Forum |
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