To evaluate our tool, we run several experiments. In our experiments we compare our global algorithm, our local algorithm using our various search strategies
This paper is available on Arxiv under CC 4.0 license. Authors: Falke B. Ø. Carlsen, Department of Computer Science, Aalborg University, Denmark & falkeboc@cs.aau.dk; Lars Bo P. Frydenskov, Department of Computer Science, Aalborg University, Denmark & larsbopark@gmail.com; Nicolaj Ø. Jensen, Department of Computer Science, Aalborg University, Denmark & noje@cs.aau.dk; Jener Rasmussen, jener@jener.dk; Mathias M. Sørensen, mathiasmehlsoerensen@gmail.com; Asger G.
. We make the PRISM-lang and LCGS implementations of models as identical as possible, such that the state spaces are comparable. Some of the concurrent games and related ATL formulae used in the experiments are presented below. Queries marked with ⊺ are satisfied , and queries marked with † may terminate early as we are not required to compute the entire fixed-point: • Mexican-Standoff: In this model N cowboys stand in a circle, each with a revolver.
-results in Figures 9a to 9c show the best result for each search strategy when varying between 1 and 32 threads. This paper is available on Arxiv under CC 4.0 license. This paper is available on Arxiv under CC 4.0 license. Authors: Falke B. Ø. Carlsen, Department of Computer Science, Aalborg University, Denmark & falkeboc@cs.aau.dk; Lars Bo P. Frydenskov, Department of Computer Science, Aalborg University, Denmark & larsbopark@gmail.com; Nicolaj Ø.
. We make the PRISM-lang and LCGS implementations of models as identical as possible, such that the state spaces are comparable. Some of the concurrent games and related ATL formulae used in the experiments are presented below. Queries marked with ⊺ are satisfied , and queries marked with † may terminate early as we are not required to compute the entire fixed-point: • Mexican-Standoff: In this model N cowboys stand in a circle, each with a revolver.
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