We present a propositional logic to reason about the uncertainty of events, where the uncertainty is modeled by a set of probability measures assigning an interval of probability ...
A logic is de ned that allows to express information about statistical probabilities and about degrees of belief in speci c propositions. By interpreting the twotypes of probabili...
We study the complexity of satisfiability for DLP+ dyn , an expressive logic introduced by Demri that allows to reason about dynamic policies. DLP+ dyn extends the logic DLPdyn of...
We consider Markov Decision Processes (MDPs) as transformers on probability distributions, where with respect to a scheduler that resolves nondeterminism, the MDP can be seen as ex...
Vijay Anand Korthikanti, Mahesh Viswanathan, Gul A...