Fahiem Bacchus, Adam J. Grove, et al.
Artificial Intelligence
This paper investigates the complexity of finding max-min strategies for finite two-person zero-sum games in the extensive form. The problem of determining whether a player with imperfect recall can guarantee himself a certain payoff is shown to be NP-hard. When both players have imperfect recall, this problem is even harder. Moreover, the max-min behavior strategy of such a player may use irrational numbers. Thus, for games with imperfect recall, computing the max-min strategy or the value of the game is a hard problem. For a game with perfect recall, we present an algorithm for computing a max-min behavior strategy, which runs in time polynomial in the size of the game tree. Journal of Economic Literature Classification Number: 026. © 1992.
Fahiem Bacchus, Adam J. Grove, et al.
Artificial Intelligence
Nimrod Megiddo, Eitan Zemel
Journal of Algorithms
Joseph Y Halpern, Nimrod Megiddo, et al.
Journal of Complexity
Felix Naumann, Ching-Tien Ho, et al.
Proceedings - International Conference on Data Engineering