Good Strategies for the Iterated Prisoner's Dilemma: Smale vs.. Markov
Abstract
In 1980 Steven Smale introduced a class of strategies for the Iterated Prisoner's Dilemma which used as data the running average of the previous payoff pairs. This approach is quite different from the Markov chain approach, common before and since, which used as data the outcome of the just previous play, the memory-one strategies. Our purpose here is to compare these two approaches focusing upon good strategies which, when used by a player, assure that the only way an opponent can obtain at least the cooperative payoff is to behave so that both players receive the cooperative payoff. In addition, we prove a version for the Smale approach of the so-called Folk Theorem concerning the existence of Nash equilibria in repeated play. We also consider the dynamics when certain simple Smale strategies are played against one another.
Recommended Citation
E. Akin, "Good Strategies for the Iterated Prisoner's Dilemma: Smale vs.. Markov," Journal of Dynamics and Games, vol. 4, no. 3, pp. 217 - 253, American Institute of Mathematical Sciences, Jan 2017.
The definitive version is available at https://doi.org/10.3934/jdg.2017014
Department(s)
Mathematics and Statistics
Keywords and Phrases
Good strategies; Iterated prisoner's dilemma; Simple smale plan; Smale
International Standard Serial Number (ISSN)
2164-6074
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2026 American Institute of Mathematical Sciences, All rights reserved.
Publication Date
01 Jan 2017
