A model-theoretic analysis of knowledge
Journal of the ACM (JACM)
A Deduction Model of Belief
Belief as defeasible knowledge
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
An analysis of first-order logics of probability
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
A decision-theoretic approach to coordinating multiagent interactions
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Your metaphor or mine: belief ascription and metaphor interpretation
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
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To make informed decisions in a multiagent environment, an agent needs to model itself, the world, and the other agents, including the models that those other agents might be employing. We present a framework for recursive modeling that uses possible worlds semantics, and is based on extending the Kripke structure so that an agent can model the information it thinks that another agent has in each of the possible worlds, which in turn can be modeled with Kripke structures. Using recursive nesting, we can define the propositional attitudes of agents to distinguish between the concepts of knowledge and belief. Through the Three Wise Men example, we show how our framework is useful for deductive reasoning, and we suggest that it might provide a meeting ground between decision theoretic and deductive methods for multiagent reasoning.