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arXiv · 1705.08426

Symbolic LTLf Synthesis

Shufang Zhu·Lucas M. Tabajara·Jianwen Li·Geguang Pu·Moshe Y. Vardi
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Abstract

LTLf synthesis is the process of finding a strategy that satisfies a linear temporal specification over finite traces. An existing solution to this problem relies on a reduction to a DFA game. In this paper, we propose a symbolic framework for LTLf synthesis based on this technique, by performing the computation over a representation of the DFA as a boolean formula rather than as an explicit graph. This approach enables strategy generation by utilizing the mechanism of boolean synthesis. We implement this symbolic synthesis method in a tool called Syft, and demonstrate by experiments on scalable benchmarks that the symbolic approach scales better than the explicit one.

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Shufang Zhu, Lucas M. Tabajara, Jianwen Li, Geguang Pu, Moshe Y. Vardi. 2017-09-21. Symbolic LTLf Synthesis. https://arxiv.org/abs/1705.08426

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