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Representing Plans Under Uncertainty
Haddawy, P. (University Of Wisconsin, Usa)
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Description for Representing Plans Under Uncertainty
Paperback. This monograph explores the integration of decision-theory and artificial intelligence and their combined usage in the solution of planning problems. The author develops a first-order logic of time, chance and action which represents and assesses the results of plans. Series: Lecture Notes in Computer Science. Num Pages: 144 pages, biography. BIC Classification: KJT; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 8. Weight in Grams: 480.
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 chance that facts hold and events occur at various times and that actions and other events affect the future. An algorithm for the problem of building construction planning ... Read more
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 chance that facts hold and events occur at various times and that actions and other events affect the future. An algorithm for the problem of building construction planning ... Read more
Product Details
Format
Paperback
Publication date
1994
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
144
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
134
Place of Publication
Berlin, Germany
ISBN
9783540576976
SKU
V9783540576976
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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