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Computing rational decisions in extensive games with limited foresight
lib:0e14e602409d8759 (v1.0.0)
Authors: Paolo Turrini
ArXiv: 1502.03683
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1502.03683v6
We introduce a class of extensive form games where players might not be able to foresee the possible consequences of their decisions and form a model of their opponents which they exploit to achieve a more profitable outcome. We improve upon existing models of games with limited foresight, endowing players with the ability of higher-order reasoning and proposing a novel solution concept to address intuitions coming from real game play. We analyse the resulting equilibria, devising an effective procedure to compute them.
ArXiv: 1502.03683
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1502.03683v6
We introduce a class of extensive form games where players might not be able to foresee the possible consequences of their decisions and form a model of their opponents which they exploit to achieve a more profitable outcome. We improve upon existing models of games with limited foresight, endowing players with the ability of higher-order reasoning and proposing a novel solution concept to address intuitions coming from real game play. We analyse the resulting equilibria, devising an effective procedure to compute them.
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