Symbolic Parity Game Solvers that Yield Winning Strategies

Parity games play an important role for LTL synthesis as evidenced by recent breakthroughs on LTL synthesis, which rely in part on parity game solving. Yet state space explosion remains a major issue if we want to scale to larger systems or specifications. In order to combat this problem, we need to investigate symbolic methods such as BDDs, which have been successful in the past to tackle exponentially large systems. It is therefore essential to have symbolic parity game solving algorithms, operating using BDDs, that are fast and that can produce the winning strategies used to synthesize the controller in LTL synthesis. Current symbolic parity game solving algorithms do not yield winning strategies. We now propose two symbolic algorithms that yield winning strategies, based on two recently proposed fixpoint algorithms. We implement the algorithms and empirically evaluate them using benchmarks obtained from SYNTCOMP 2020. Our conclusion is that the algorithms are competitive with or faster than an earlier symbolic implementation of Zielonka's recursive algorithm, while also providing the winning strategies.Comment: In Proceedings GandALF 2020, arXiv:2009.0936

Improving Parity Game Solvers with Justifications

Parity games are infinite two-player games played on node-weighted directed graphs. Formal verification problems such as verifying and synthesizing automata, bounded model checking of LTL, CTL*, propositional µ-calculus, ...reduce to problems over parity games. The core problem of parity game solving is deciding the winner of some (or all) nodes in a parity game. In this paper, we improve several parity game solvers by using a justification graph. Experimental evaluation shows our algorithms improve upon the state-of-the-art.status: Published onlin