A Logic for Reasoning about Upper Probabilities
–Journal of Artificial Intelligence Research
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 to each event. We give a sound and complete axiomatization for the logic, and show that the satisfiability problem is NP-complete, no harder than satisfiability for propositional logic.
Journal of Artificial Intelligence Research
Sep-1-2002
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