Computer Science – Artificial Intelligence
Scientific paper
2003-07-30
Journal of AI Research 17, 2001, pp. 57-81
Computer Science
Artificial Intelligence
A preliminary version of this paper appeared in Proc. of the 17th Conference on Uncertainty in AI, 2001
Scientific paper
We present a propositional logic %which can be used 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.
Halpern Joseph Y.
Pucella Riccardo
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