GIST: A solver for probabilistic games Conference Paper


Author(s): Chatterjee, Krishnendu; Henzinger, Thomas A; Jobstmann, Barbara; Radhakrishna, Arjun
Title: GIST: A solver for probabilistic games
Title Series: LNCS
Affiliation IST Austria
Abstract: GIST is a tool that (a) solves the qualitative analysis problem of turn-based probabilistic games with ω-regular objectives; and (b) synthesizes reasonable environment assumptions for synthesis of unrealizable specifications. Our tool provides the first and efficient implementations of several reduction-based techniques to solve turn-based probabilistic games, and uses the analysis of turn-based probabilistic games for synthesizing environment assumptions for unrealizable specifications.
Keywords: synthesis; LTL; probabilistic games; qualitative analysis
Conference Title: CAV: Computer Aided Verification
Volume: 6174
Conference Dates: July 15-19, 2010
Conference Location: Edinburgh, UK
Publisher: Springer  
Date Published: 2010-01-01
Start Page: 665
End Page: 669
Sponsor: This research was supported by the European Union project COMBEST and the European Network of Excellence ArtistDesign.
URL:
DOI: 10.1007/978-3-642-14295-6_57
Open access: yes (repository)
IST Austria Authors
  1. Thomas A. Henzinger
    415 Henzinger
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