Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning 2021
DOI: 10.24963/kr.2021/38
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Satisfiability Checking of Strategy Logic with Simple Goals

Abstract: In this paper, we introduce a new method of the satisfiability (SAT) checking for Simple-Goal Strategy Logic (SL[SG]), using symbolic Boolean model encoding and the SAT Modulo Monotonic Theories techniques, which was implemented into the tool SGSAT. To the best of our knowledge, this is the only tool solving the SAT problem for SL[SG]. Its applications include process synthesis, developing controllers as well as automatic planners in multi-agent scenarios.

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Cited by 3 publications
(1 citation statement)
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“…In [27] a lazy SMT-solver for Boolean monotonic theories (SMMT) was applied to model synthesis for Computation Tree Logic (CTL [9,49]). This method was then extended in [22,34] to deciding the satisfiability of Alternating-time Temporal Logic (ATL [5,6]), and in [23] to deciding Simple-Goal Strategy Logic (SL[SG] [10]). Another approach to checking satisfiability of ATL was developed in [14], using a tableau-based decision procedure.…”
Section: Related Workmentioning
confidence: 99%
“…In [27] a lazy SMT-solver for Boolean monotonic theories (SMMT) was applied to model synthesis for Computation Tree Logic (CTL [9,49]). This method was then extended in [22,34] to deciding the satisfiability of Alternating-time Temporal Logic (ATL [5,6]), and in [23] to deciding Simple-Goal Strategy Logic (SL[SG] [10]). Another approach to checking satisfiability of ATL was developed in [14], using a tableau-based decision procedure.…”
Section: Related Workmentioning
confidence: 99%