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The forgetting has been found an important and wide application in computer science and AI, especially epistemic reasoning fields. In this paper, the notion of knowledge forgetting is proposed in Alternating-Time Temporal Epistemic Logic. The bisimulation of forgetting is established, and the related properties are showed. By the bisimulation, the semantics and properties of knowledge forgetting are...
When specifying multiagent systems and mental states such as belief and goal of agents, temporal logics are often adopted as basic theoretical tools. Although there are work on nonmonotonic extension of linear temporal logic LTL and branching time temporal logic CTL, the nonmonotonic extension of the logic of cooperation and propositional control (CL-PC) and its dynamic version DCL-PC which are important...
Belief revision is a focus of the research of artificial intelligence. How to revise uncertain belief is worth researching. Based on general fuzzy probabilistic aumann belief logic, the belief mental attribute of agent is considered, and two kinds of fuzzy probabilistic in a belief base are given, the classical partial meet revision is extended to fuzzy probabilistic belief base revision. According...
Belief plays an important part in intelligent systems modeling. On the one hand, in the multi-agent systems community, belief is usually modeled as a mental state of agents by modal logic in the context of BDI (belief-desire intention). On the other hand, in epistemic logic research, belief and knowledge are often taken into account together, which are main components of knowledge-based systems. However...
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