CONSTRAINT PROCESSING RINA DECHTER PDF

Dr. Rina Dechter. Prof. Rina Dechter, Ph.D Artificial Intelligence Office: DBH . Phone: Email: Highlights and News. Constraint Processing – 1st Edition – ISBN: , . In Constraint Processing, Rina Dechter, synthesizes these contributions, along. In Constraint Processing, Rina Dechter, synthesizes these contributions, along work on constraint processing in AI, databases and programming languages.

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Constraint Processing

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Description 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 intelligence, databases and programming languages, operations research, management science, and applied mathematics. Today, constraint problems are used to model cognitive tasks in vision, language comprehension, default reasoning, diagnosis, scheduling, temporal and spatial reasoning.

Constraint Processing – Rina Dechter – Google Books

In Constraint Processing, Rina Dechter, synthesizes these contributions, along with her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms.

Throughout, she focuses on fundamental tools and principles, emphasizing the representation and analysis of algorithms.

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Constraint Processing : Rina Dechter :

Knowledge Representation and Reasoning Ronald J. Constraint Processing Rina Dechter. Stochastic Local Search Holger H. Artificial Intelligence Nils J. Genetic Programming Wolfgang Banzhaf.

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Evolutionary Computation in Bioinformatics David W. Review Text “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. Yap, National University of Singapore, in Theory and Practice of Logic Programming “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 professing of techniques for processing symbolic, numerical, and probabilistic information.

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. An abundance of examples illustrate concepts and algorithms. The reader is well guided through technical issues, so intuition is never hidden by technicalities. It is a comprehensive book that can be used as a companion for courses on constraint satisfaction especially because the reader does not need to be an expert in the area to understand the text.

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The introductory character of the book makes it easy to read; nevertheless advanced students and researchers may also find deeper information on some topics there. Rina Dechter is an excellent researcher with contributions in many areas of constraint satisfaction. I strongly recommend reading this book to everyone who wants to know what is behind constraint satisfaction technology and I think that this book should definitely be in the bookshelf of everyone who teaches constraint satisfaction.

Review quote “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.

Yap, National University of Singapore, in Theory and Practice of Logic Programming “It is beautifully written and presents a unifying framework capturing a wide range of techniques for processing symbolic, numerical, and probabilistic information. Her research centers on computational aspects of automated reasoning and knowledge representation including search, constraint processing and probabilistic reasoning. Professor Dechter has authored over 50 research papers, and has served on the editorial boards of: She was awarded the Presidential Young investigator award in and is a fellow of the American association of Artificial Intelligence.

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