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Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)
Rina Dechter
€ 90.04
€ 73.97
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Description for Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)
Hardcover. Constraint satisfaction is a simple but powerful tool. Constraint problems are used to model cognitive tasks in vision, language comprehension, default reasoning, diagnosis, scheduling, temporal and spatial reasoning. This title provides an examination of the theory that underlies constraint processing algorithms. Series: The Morgan Kaufmann Series in Artificial Intelligence. Num Pages: 480 pages, bibliography, index. BIC Classification: UM; UYQ. Category: (P) Professional & Vocational. Dimension: 242 x 196 x 36. Weight in Grams: 1074. Series: The Morgan Kaufmann Series in Artificial Intelligence. 480 pages, bibliography, index. Constraint satisfaction is a simple but powerful tool. Constraint problems are used to model cognitive tasks in vision, language comprehension, default reasoning, diagnosis, scheduling, temporal and spatial reasoning. This title provides an examination of the theory that underlies constraint processing algorithms. Cateogry: (P) Professional & Vocational. BIC Classification: UM; UYQ. Dimension: 242 x 196 x 36. Weight: 1106.
Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to effectively focus on the possible, allowing for a natural declarative formulation of what must be satisfied, without expressing how. The field of constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial...
Read moreProduct Details
Publisher
Morgan Kaufmann
Number of pages
480
Format
Hardback
Publication date
2003
Series
The Morgan Kaufmann Series in Artificial Intelligence
Condition
New
Weight
1243g
Number of Pages
512
Place of Publication
San Francisco, United States
ISBN
9781558608900
SKU
V9781558608900
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-3
About Rina Dechter
Rina Dechter is a professor of Computer Science at the University of California, Irvine. She received her PhD in Computer Science at UCLA in 1985, a MS degree in Applied Mathematic from the Weizman Institute and a B.S in Mathematics and Ststistics from the Hebrew University, Jerusalem. Her research centers on computational aspects of automated reasoning and knowledge representation including...
Read moreReviews for Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)
“To summarize, this book distills well over three decades worth of development in CSP and constraint processing in a single textbook. I wholeheartedly recommend it to students, researchers and practitioners in artificial intelligence, constraint programming and operations research who want to know more about the theory of constraint processing."
Roland H.C. Yap, National University of Singapore, in Theory and...
Read moreRoland H.C. Yap, National University of Singapore, in Theory and...