A Qualitative Model for Temporal Reasoning with Incomplete Information

Hector Geffner

We clevelop a qualitative framework for temporal reasoning with incomplete information that features a modeling language based on rules and a semantics based on infinitesimal probabilities. The framework relates logical and probabilistical models, and accommodates in a natural way features that, have been found problematic in other models like non-determinism, action qualifications, parallel actions, and abduction to actions and fluents.

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