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Published in:
2010 | OriginalPaper | Chapter
Abstraction for Model Checking the Probabilistic Temporal Logic of Knowledge
Authors : Conghua Zhou, Bo Sun, Zhifeng Liu
Published in: Artificial Intelligence and Computational Intelligence
Publisher: Springer Berlin Heidelberg
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Probabilistic temporal logics of knowledge have been used to specify multi-agent systems. In this paper, we introduce a probabilistic temporal logic of knowledge called PTLK for expressing time, knowledge, and probability in multi-agent systems. Then, in order to overcome the state explosion in model checking PTLK we propose an abstraction procedure for model checking PTLK. The rough idea of the abstraction approach is to partition the state space into several equivalence classes which consist of the set of abstract states. The probability distribution between abstract states is defined as an interval for computing the approximation of the concrete system. Finally, the model checking algorithm in PTLK is developed.