Affiliation:
1. Institute of Science and Technology (IST Austria), Klosternberg, Austria
2. University of California, Santa Cruz, Santa Cruz, CA
Abstract
We consider two-player games played on a finite state space for an infinite number of rounds. The games are
concurrent
: in each round, the two players (player 1 and player 2) choose their moves independently and simultaneously; the current state and the two moves determine the successor state. We consider ω-regular winning conditions specified as
parity
objectives. Both players are allowed to use randomization when choosing their moves. We study the computation of the
limit-winning
set of states, consisting of the states where the sup-inf value of the game for player 1 is 1: in other words, a state is
limit-winning
if player 1 can ensure a probability of winning arbitrarily close to 1. We show that the limit-winning set can be computed in
O
(
n
2
d
+2) time, where
n
is the size of the game structure and 2
d
is the number of priorities (or colors). The membership problem of whether a state belongs to the limit-winning set can be decided in NP ∩ coNP. While this complexity is the same as for the simpler class of
turn-based
parity games, where in each state only one of the two players has a choice of moves, our algorithms are considerably more involved than those for turn-based games. This is because concurrent games do not satisfy two of the most fundamental properties of turn-based parity games. First, in concurrent games limit-winning strategies require randomization; and second, they require infinite memory.
Publisher
Association for Computing Machinery (ACM)
Subject
Computational Mathematics,Logic,General Computer Science,Theoretical Computer Science
Reference39 articles.
1. Solving sequential conditions by finite-state strategies
2. Chatterjee K. 2007. Stochastic omega-regular games. Ph.D. dissertation. University of California Berkeley. Chatterjee K. 2007. Stochastic omega-regular games. Ph.D. dissertation. University of California Berkeley.
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