PRISM-games 2.0: A Tool for Multi-Objective Strategy Synthesis for Stochastic Games
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PRISM-games 2.0: A Tool for Multi-Objective Strategy Synthesis for Stochastic Games. / Kwiatkowska, Marta; Parker, David; Wiltsche, Clemens.
Proceedings 22nd International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'16). ed. / Marsha Chechik; Jean-Francois Raskin. Springer, 2016. (Lecture Notes in Computer Science; Vol. 9636).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - PRISM-games 2.0: A Tool for Multi-Objective Strategy Synthesis for Stochastic Games
AU - Kwiatkowska, Marta
AU - Parker, David
AU - Wiltsche, Clemens
PY - 2016/4/9
Y1 - 2016/4/9
N2 - We present a new release of PRISM-games, a tool for verification and strategy synthesis for stochastic games. PRISM-games 2.0 significantly extends its functionality by supporting, for the first time: (i) long-run average (mean-payoff) and ratio reward objectives, e.g., to express energy consumption per time unit; (ii) strategy synthesis and Pareto set computation for multi-objective properties; and (iii) compositional strategy synthesis, where strategies for a stochastic game modelled as a composition of subsystems are synthesised from strategies for individual components using assume-guarantee contracts on component interfaces. We demonstrate the usefulness of the new tool on four case studies from autonomous transport and energy management.
AB - We present a new release of PRISM-games, a tool for verification and strategy synthesis for stochastic games. PRISM-games 2.0 significantly extends its functionality by supporting, for the first time: (i) long-run average (mean-payoff) and ratio reward objectives, e.g., to express energy consumption per time unit; (ii) strategy synthesis and Pareto set computation for multi-objective properties; and (iii) compositional strategy synthesis, where strategies for a stochastic game modelled as a composition of subsystems are synthesised from strategies for individual components using assume-guarantee contracts on component interfaces. We demonstrate the usefulness of the new tool on four case studies from autonomous transport and energy management.
U2 - 10.1007/978-3-662-49674-9_35
DO - 10.1007/978-3-662-49674-9_35
M3 - Conference contribution
SN - 978-3-662-49673-2
T3 - Lecture Notes in Computer Science
BT - Proceedings 22nd International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS'16)
A2 - Chechik, Marsha
A2 - Raskin, Jean-Francois
PB - Springer
T2 - 22nd International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 16)
Y2 - 2 April 2016 through 8 April 2016
ER -