Global model checking on pushdown multi-agent systems

Conference paper


Chen, T., Song, F. and Wu, Z. 2016. Global model checking on pushdown multi-agent systems. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona, USA 12 - 17 Feb 2016 Association for the Advancement of Artificial Intelligence (AAAI). pp. 2459-2465 https://doi.org/10.1609/aaai.v30i1.10124
TypeConference paper
TitleGlobal model checking on pushdown multi-agent systems
AuthorsChen, T., Song, F. and Wu, Z.
Abstract

Pushdown multi-agent systems, modeled by pushdown game structures (PGSs), are an important paradigm of infinite-state multi-agent systems. Alternating-time temporal logics are well-known specification formalisms for multi-agent systems, where the selective path quantifier is introduced to reason about strategies of agents. In this paper, we investigate model checking algorithms for variants of alternating-time temporal logics over PGSs, initiated by Murano and Perelli at IJCAI'15. We first give a triply exponential-time model checking algorithm for ATL* over PGSs. The algorithm is based on the saturation method, and is the first global model checking algorithm with a matching lower bound. Next, we study the model checking problem for the alternating-time mu-calculus. We propose an exponential-time global model checking algorithm which extends similar algorithms for pushdown systems and modal mu-calculus. The algorithm admits a matching lower bound, which holds even for the alternation-free fragment and ATL.

ConferenceThirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
Page range2459-2465
Proceedings TitleProceedings of the AAAI Conference on Artificial Intelligence
ISSN2159-5399
Electronic2374-3468
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI)
Publication dates
Print17 Feb 2016
Publication process dates
Deposited12 Apr 2016
Accepted01 Jan 2016
Output statusPublished
Web address (URL)http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/11984
Digital Object Identifier (DOI)https://doi.org/10.1609/aaai.v30i1.10124
Web address (URL) of conference proceedingshttps://ojs.aaai.org/index.php/AAAI/issue/view/303
LanguageEnglish
Book titleProceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
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