Representing Plans Under Uncertainty

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This monograph integrates AI and decision-theoretic approaches to the representation of planning problems by developing a first-order logic of time, chance, and action for representing and reasoning about plans. The semantics of the logic incorporates intuitive properties of time, chance, and action central to the planning problem. The logical language integrates both modal and probabilistic constructs and allows quantification over time points, probability values, and domain individuals. The language can represent the ...

Representing Plans Under Uncertainty 1994, Springer, Berlin, Germany

ISBN-13: 9783540576976

1994 edition

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Representing Plans Under Uncertainty 1994, Springer

ISBN-13: 9780387576978

Trade paperback

Select