Bisimulation through probabilistic testing
Information and Computation
Reasoning about knowledge and probability
Journal of the ACM (JACM)
Power Domains and Predicate Transformers: A Topological View
Proceedings of the 10th Colloquium on Automata, Languages and Programming
Bisimulation for labelled Markov processes
Information and Computation - Special issue: LICS'97
Stochastic Relations
Complete deductive systems for probability logic with application to harsanyi type spaces
Complete deductive systems for probability logic with application to harsanyi type spaces
Bisimulation and cocongruence for probabilistic systems
Information and Computation - Special issue: Seventh workshop on coalgebraic methods in computer science 2004
Labelled Markov Processes
Deduction Systems for Coalgebras Over Measurable Spaces
Journal of Logic and Computation
Duality for logics of transition systems
FOSSACS'05 Proceedings of the 8th international conference on Foundations of Software Science and Computation Structures
Approximating Markov processes through filtration
Theoretical Computer Science
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We define Aumann algebras, an algebraic analog of probabilistic modal logic. An Aumann algebra consists of a Boolean algebra with operators modeling probabilistic transitions. We prove a Stone-type duality between countable Aumann algebras and countably-generated continuous-space Markov processes. Our results subsume existing results on completeness of probabilistic modal logics for Markov processes.