Adaptive traitor tracing for large anonymous attack
Hongxia Jin, Jeffery Lotspiech, et al.
CCS 2008
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.
Hongxia Jin, Jeffery Lotspiech, et al.
CCS 2008
Martha I. Sanchez, Gregory M. Wallraff, et al.
EUVL 2019
Joseph O'Rourke, S. Rao Kosaraju, et al.
Discrete and Computational Geometry
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Journal of Complexity