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Reasoning about actions and information is one of the most active areas of research in artificial intelligence. In this article, we study the reasoning about actions and information in multi-agent conformant planning, which is an essential branch of artificial intelligence. We introduce a semantic-driven formalism to capture the information change during the execution of actions. We then propose a dynamic epistemic logic for multi-agent conformant planning. Moreover, we give an alternative Kripke semantics and provide a complete axiomatization.

A Logic for Multi-Agent Conformant Planning Over Transition Systems