2015/02/12 by Paolo Turrini, Turrini, Paolo
Computer Science · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #cs.AI #cs.GT #cs.LO
paper · pdf · doi:10.48550/arxiv.1502.03683
arxiv created 2016/05/29 · arxiv updated 2016/05/31
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.