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Temporal reasoning with constraints on fluents and events
Abstract
We propose a propositional language for temporal reasoning that is computationally effective yet expressive enough to describe information about fluents, events and temporal constraints. Although the complete inference algorithm is exponential, we characterize a tractable core with limited expressibility and inferential power. Our results render a variety of constraint propagation techniques applicable for reasoning with constraints on fluents.
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