“Sometimes” and “not never” revisited: on branching versus linear time temporal logic
Journal of the ACM (JACM) - The MIT Press scientific computation series
Artificial Intelligence
Theoretical Computer Science
The power of temporal proofs (corrigendum)
Theoretical Computer Science
A logic for reasoning about probabilities
Information and Computation - Selections from 1988 IEEE symposium on logic in computer science
On the strength of temporal proofs
MFCS '89 Selected papers of the symposium on Mathematical foundations of computer science
Handbook of theoretical computer science (vol. B)
Two views of belief: belief as generalized probability and belief as evidence
Artificial Intelligence
Handbook of logic in computer science (vol. 2)
Temporal logic (vol. 1): mathematical foundations and computational aspects
Temporal logic (vol. 1): mathematical foundations and computational aspects
Automated temporal reasoning about reactive systems
Proceedings of the VIII Banff Higher order workshop conference on Logics for concurrency : structure versus automata: structure versus automata
On the temporal analysis of fairness
POPL '80 Proceedings of the 7th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Axiomatising Extended Computation Tree Logic
CAAP '96 Proceedings of the 21st International Colloquium on Trees in Algebra and Programming
Reasoning about Uncertainty
Discrete Linear-time Probabilistic Logics: Completeness, Decidability and Complexity
Journal of Logic and Computation
A logic with approximate conditional probabilities that can model default reasoning
International Journal of Approximate Reasoning
A logic for reasoning about evidence
Journal of Artificial Intelligence Research
A probabilistic logic with polynomial weight formulas
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
A branching time logic with two types of probability operators
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
A probabilistic temporal logic that can model reasoning about evidence
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
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The aim of the paper is to present a sound, strongly complete and decidable probabilistic temporal logic that can model reasoning about evidence. The formal system developed here is actually a solution of a problem proposed by Halpern and Pucella (J Artif Intell Res 26:1---34, 2006).