Notions of computation and monads
Information and Computation
Probabilistic non-determinism
Handbook of logic in computer science (vol. 3)
Stochastic lambda calculus and monads of probability distributions
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
The Powerdomain of Indexed Valuations
LICS '02 Proceedings of the 17th Annual IEEE Symposium on Logic in Computer Science
Nondeterminism and Probabilistic Choice: Obeying the Laws
CONCUR '00 Proceedings of the 11th International Conference on Concurrency Theory
Distributing probability over non-determinism
Mathematical Structures in Computer Science
A domain-theoretic Banach–Alaoglu theorem
Mathematical Structures in Computer Science
RETRACTED: Semantic Domains for Combining Probability and Non-Determinism
Electronic Notes in Theoretical Computer Science (ENTCS)
Stably Compact Spaces and the Probabilistic Powerspace construction
Electronic Notes in Theoretical Computer Science (ENTCS)
Continuous capacities on continuous state spaces
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
Simulation hemi-metrics between infinite-state stochastic games
FOSSACS'08/ETAPS'08 Proceedings of the Theory and practice of software, 11th international conference on Foundations of software science and computational structures
Prevision domains and convex powercones
FOSSACS'08/ETAPS'08 Proceedings of the Theory and practice of software, 11th international conference on Foundations of software science and computational structures
De groot duality and models of choice: Angels, demons and nature†
Mathematical Structures in Computer Science
Approximating Markov Processes by Averaging
Journal of the ACM (JACM)
Hi-index | 0.00 |
We define strong monads of continuous (lower, upper) previsions, and of forks, modeling both probabilistic and non-deterministic choice. This is an elegant alternative to recent proposals by Mislove, Tix, Keimel, and Plotkin. We show that our monads are sound and complete, in the sense that they model exactly the interaction between probabilistic and (demonic, angelic, chaotic) choice.