Forward LTLf Synthesis: DPLL At Work
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This paper proposes a new AND-OR graph search framework for synthesis of Linear Temporal Logic on finite traces (LTLf), that overcomes some limitations of previous approaches. Within such framework, I devise a procedure inspired by the Davis-Putnam-Logemann-Loveland (DPLL) algorithm to generate the next available agent-environment moves in a truly depth-first fashion, possibly avoiding exhaustive enumeration or costly compilations. I also propose a novel equivalence check for search nodes based on syntactic equivalence of state formulas. Since the resulting procedure is not guaranteed to terminate, I identify a stopping condition to abort execution and restart the search with state-equivalence checking based on Binary Decision Diagrams (BDD), which I show to be correct. The experimental results show that in many cases the proposed techniques outperform other state-of-the-art approaches.
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