2016
DOI: 10.1007/978-3-319-32582-8_9
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Real-Time Strategy Synthesis for Timed-Arc Petri Net Games via Discretization

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Cited by 9 publications
(3 citation statements)
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“…We extend the Petri net verification engine verifypn [15], a part of the TAPAAL tool suite [8], to experimentally demonstrate the viability of our approach. The synthesis algorithm for solving Petri net games is an adaptation of the dependency graph fixed-point computation from [18,17] that we reimplement in C++ while utilising PTries [16] for efficient state storage. The source code is available under GPLv3 [4].…”
Section: Implementation and Experimentsmentioning
confidence: 99%
See 1 more Smart Citation
“…We extend the Petri net verification engine verifypn [15], a part of the TAPAAL tool suite [8], to experimentally demonstrate the viability of our approach. The synthesis algorithm for solving Petri net games is an adaptation of the dependency graph fixed-point computation from [18,17] that we reimplement in C++ while utilising PTries [16] for efficient state storage. The source code is available under GPLv3 [4].…”
Section: Implementation and Experimentsmentioning
confidence: 99%
“…We propose approximate syntax-driven conditions of a stable Petri net game reduction satisfying the sufficient conditions for our stable reductions and demonstrate their applicability in an efficient, open source implementation in the model checker TAPAAL [8]. Our implementation is based on dependency graphs, following the approach from [7,17], and we demonstrate on several case studies that the computation of the stubborn sets only has a minor overhead while having the potential of achieving exponential reduction both in the running time as well as in the number of searched configurations. To the best of our knowledge, this is the first efficient implementation of a 2-player game partial order reduction technique for Petri nets games.…”
Section: Introductionmentioning
confidence: 99%
“…We believe that those results are also interesting on their own. Note that it is possible to solve discrete-time games by enumerative techniques [25]; however, our algorithms require representing complex sets of states, so being able to solve a given game is not sufficient, and we do need some form of succinct representation.…”
Section: Introductionmentioning
confidence: 99%