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Monday, May 30, 2016

Computing rational decisions in extensive games with limited foresight. (arXiv:1502.03683v6 [cs.AI] UPDATED)

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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