Constraint Processing
by Rina Dechter
Published by Morgan Kaufmann
CommentaryThe text:
This book provides a comprehensive and much needed introduction to the field by one of its foremost experts. It is beautifully written and presents a unifying framework capturing a wide range of techniques for processing symbolic, numerical, and probabilistic information.
I've been waiting a long time for a good theoretical introduction to constraint programming. Rina Dechter's book is just this. If you want to understand why this technology works, and how to make it work for you, then I recommend you read this book.
The book is rigorous but it is not difficult to read. An abundance of examples illustrate concepts and algorithms. The reader is well guided through technical issues, so intuition is never hidden by technicalities.
An indispensable resource for researchers and practitioners in AI and optimization. |
Prof. Rina Dechter, Ph.D
Artificial Intelligence
Office: DBH 4232
Phone: 1.949.824.6556
Email: dechter_at_ics.uci.edu
Artificial Intelligence
Office: DBH 4232
Phone: 1.949.824.6556
Email: dechter_at_ics.uci.edu
Highlights and News
Dechter, Meiri and Pearl received the 2020 AIJ Classic
Paper Award for their 1991 paper Temporal Constraint Networks. (Previous recipients of the award can be found here) | ||
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Second edition of my book: "Reasoning with Probabilistic and Deerministic Graphical Models" just appeared |