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. pp. 2459-2465
Type | Conference paper |
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Title | Global model checking on pushdown multi-agent systems |
Authors | Chen, 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. |
Conference | Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) |
Page range | 2459-2465 |
Publisher | Association for the Advancement of Artificial Intelligence |
Publication dates | |
17 Feb 2016 | |
Publication process dates | |
Deposited | 12 Apr 2016 |
Accepted | 01 Jan 2016 |
Output status | Published |
Web address (URL) | http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/11984 |
Language | English |
Book title | Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) |
https://repository.mdx.ac.uk/item/8635y
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