A Comparison of BDD-Based Parity Game Solvers

CoRR Pub Date : 2018-09-07 DOI:10.4204/EPTCS.277.8
L. Sanchez, Wieger Wesselink, T. Willemse
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引用次数: 6

Abstract

Parity games are two player games with omega-winning conditions, played on finite graphs. Such games play an important role in verification, satisfiability and synthesis. It is therefore important to identify algorithms that can efficiently deal with large games that arise from such applications. In this paper, we describe our experiments with BDD-based implementations of four parity game solving algorithms, viz. Zielonka's recursive algorithm, the more recent Priority Promotion algorithm, the Fixpoint-Iteration algorithm and the automata based APT algorithm. We compare their performance on several types of random games and on a number of cases taken from the Keiren benchmark set.
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基于bdd的奇偶博弈求解器的比较
奇偶性游戏是在有限图上进行的具有- 3获胜条件的两人游戏。这类博弈在验证性、可满足性和综合性方面发挥着重要作用。因此,识别能够有效处理此类应用产生的大型游戏的算法非常重要。在本文中,我们描述了基于bdd实现的四种奇偶对策求解算法的实验,即Zielonka的递归算法,最新的优先级提升算法,不动点迭代算法和基于自动机的APT算法。我们比较了它们在不同类型的随机游戏中的表现,以及Keiren基准集中的许多情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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