A decidable propositional dynamic logic with explicit probabilities
Information and Control
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
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Journal of the ACM (JACM)
A logic for reasoning about probabilities
Information and Computation - Selections from 1988 IEEE symposium on logic in computer science
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Knowledge, probability, and adversaries
Journal of the ACM (JACM)
Reasoning about knowledge and probability
Journal of the ACM (JACM)
Reasoning about knowledge
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Knowledge and Belief in Philosophy and Artificial Intelligence: Logica Nova
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UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
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STOC '84 Proceedings of the sixteenth annual ACM symposium on Theory of computing
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Journal of Logic, Language and Information
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TARK '01 Proceedings of the 8th conference on Theoretical aspects of rationality and knowledge
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EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
A logic with coherent conditional probabilities
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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In this paper, we propose the logic for reasoning about probabilistic belief, called PBLf. Our language includes formulas that essentially express "agent i believes that the probability of φ is at least p". We first provide an inference system of PBLf, and then introduce a probabilistic semantics for PBLf. The soundness and finite model property of PBLf are proven.