Base-based Model Checking for Multi-Agent Only Believing (long version)

de Lima, Tiago, Lorini, Emiliano, Schwarzentruber, François

arXiv.org Artificial Intelligence 

We present a novel semantics for the language of multi-agent only believing exploiting belief bases, and show how to use it for automatically checking formulas of this language and of its dynamic extension with private belief expansion operators. We provide a PSPACE algorithm for model checking relying on a reduction to QBF and alternative dedicated algorithm relying on the exploration of the state space. We present an implementation of the QBF-based algorithm and some experimental results on computation time in a concrete example.

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