English

From rules to runs: A dynamic epistemic take on imperfect information games

Artificial Intelligence 2015-12-08 v1 Computer Science and Game Theory Logic in Computer Science

Abstract

In the literature of game theory, the information sets of extensive form games have different interpretations, which may lead to confusions and paradoxical cases. We argue that the problem lies in the mix-up of two interpretations of the extensive form game structures: game rules or game runs which do not always coincide. In this paper, we try to separate and connect these two views by proposing a dynamic epistemic framework in which we can compute the runs step by step from the game rules plus the given assumptions of the players. We propose a modal logic to describe players' knowledge and its change during the plays, and provide a complete axiomatization. We also show that, under certain conditions, the mix-up of the rules and the runs is not harmful due to the structural similarity of the two.

Keywords

Cite

@article{arxiv.1512.02078,
  title  = {From rules to runs: A dynamic epistemic take on imperfect information games},
  author = {Kai Li and Yanjing Wang},
  journal= {arXiv preprint arXiv:1512.02078},
  year   = {2015}
}

Comments

draft of a paper accepted by Studies in Logic (published by Sun Yat-Sen University)