Mor, Yishay and Rosenschein, Jeffrey S.
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This paper examines the integration of computational complexity into game theoretic models. The example focused on is the Prisoner’s Dilemma, repeated for a finite length of time. We show that a minimal bound on the players’ computational ability is sufficient to enable cooperative behavior.
In addition, a variant of the repeated Prisoner’s Dilemma game is suggested, in which players have the choice of opting out. This modification enriches the game and suggests dominance of cooperative strategies.
Competitive analysis is suggested as a tool for investigating sub-optimal (but computationally tractable) strategies and game theoretic models in general. Using competitive analysis, it is shown that for bounded players, a sub-optimal strategy might be the optimal choice, given resource limitations.
|Item Type:||Conference Item|
|Copyright Holders:||1995 American Association for Artificial Intelligence|
|Keywords:||conceptual and theoretical foundations of multiagent systems; prisoner’s dilemma|
|Academic Unit/School:||Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
|Interdisciplinary Research Centre:||Centre for Research in Education and Educational Technology (CREET)|
|Depositing User:||Yishay Mor|
|Date Deposited:||10 Feb 2012 15:16|
|Last Modified:||03 Mar 2017 19:42|
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