Global model checking on pushdown multi-agent systems

Chen, Taolue, Song, Fu and Wu, Zhilin (2016) Global model checking on pushdown multi-agent systems. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). In: Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), 12-17 Feb 2016, Phoenix, Arizona, USA. . [Conference or Workshop Item]

PDF - Published version (with publisher's formatting) Restricted to Repository staff and depositor only Download (698kB)

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.

Actions (login required)

View Item

Statistics

DownloadsShow export options

Export as CSVXMLJSON

Activity Overview

6 month trend

15Downloads

6 month trend

406Hits

Additional statistics are available via IRStats2.