Constraint Processing by Dechter, Rina 2003 HC SO168

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Item specifics

Condition
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Very Good As Pictured”
Binding
Hardcover
Product Group
Book
Book Title
Constraint Processing
Weight
2 lbs
IsTextBook
No
ISBN
9781558608900
Subject Area
Computers
Publication Name
Constraint Processing
Publisher
Elsevier Science & Technology
Item Length
9.2 in
Subject
Programming / General, Intelligence (Ai) & Semantics
Publication Year
2003
Series
The Morgan Kaufmann Series in Artificial Intelligence Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
Rina Dechter
Item Weight
35.3 Oz
Item Width
7.4 in
Number of Pages
480 Pages
Category

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
1558608907
ISBN-13
9781558608900
eBay Product ID (ePID)
2340045

Product Key Features

Number of Pages
480 Pages
Language
English
Publication Name
Constraint Processing
Subject
Programming / General, Intelligence (Ai) & Semantics
Publication Year
2003
Type
Textbook
Author
Rina Dechter
Subject Area
Computers
Series
The Morgan Kaufmann Series in Artificial Intelligence Ser.
Format
Hardcover

Dimensions

Item Weight
35.3 Oz
Item Length
9.2 in
Item Width
7.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2003-044562
Dewey Edition
21
Reviews
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, inTheory 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. Bart Selman, Cornell University If you want to understand why this technology works, and how to make it work for you, then I recommend you read this book. Toby Walsh, Cork Constraint Computation Centre The book is rigorous but it is not difficult to read. An abundance of examples illustrate concepts and algorithms. Pedro Meseguer, Institut dInvestigació en Intellingència Artificial Consejo Superior de Investigaciones Científicas (IIIA-CSIC) An indispensable resource for researchers and practitioners in AI and optimization. Henry Kautz, University of Washington 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. Roman Barták, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, "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 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." -- Bart Selman, Cornell University "If you want to understand why this technology works, and how to make it work for you, then I recommend you read this book." -- Toby Walsh, Cork Constraint Computation Centre "The book is rigorous but it is not difficult to read. An abundance of examples illustrate concepts and algorithms." -- Pedro Meseguer, Institut d'Investigació en Intellingència Artificial - Consejo Superior de Investigaciones Científicas (IIIA-CSIC) "An indispensable resource for researchers and practitioners in AI and optimization." -- Henry Kautz, University of Washington "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." -- Roman Barták, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, "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 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 range of techniques for processing symbolic, numerical, and probabilistic information." -- Bart Selman, Cornell University "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." -- Toby Walsh, Cork Constraint Computation Centre "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." -- Pedro Meseguer, Institut d'Investigació en Intellingència Artificial - Consejo Superior de Investigaciones Científicas (IIIA-CSIC) "An indispensable resource for researchers and practitioners in AI and optimization." -- Henry Kautz, University of Washington "a welcome introduction to the field of constraint satisfaction that will help researchers, educators, and students understand what constraint processing is about. 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. 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." -- Roman Barták, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, "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 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 range of techniques for processing symbolic, numerical, and probabilistic information." - Bart Selman, Cornell University "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." - Toby Walsh, Cork Constraint Computation Centre "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." - Pedro Meseguer, Institut d'Investigació en Intellingència Artificial - Consejo Superior de Investigaciones Científicas (IIIA-CSIC) "An indispensable resource for researchers and practitioners in AI and optimization." - Henry Kautz, University of Washington "a welcome introduction to the field of constraint satisfaction that will help researchers, educators, and students understand what constraint processing is about. 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. 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." - Roman Barták, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, "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 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 range of techniques for processing symbolic, numerical, and probabilistic information._ - Bart Selman, Cornell University "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._ - Toby Walsh, Cork Constraint Computation Centre "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._ - Pedro Meseguer, Institut d'Investigació en Intellingència Artificial - Consejo Superior de Investigaciones Científicas (IIIA-CSIC) "An indispensable resource for researchers and practitioners in AI and optimization._ - Henry Kautz, University of Washington "a welcome introduction to the field of constraint satisfaction that will help researchers, educators, and students understand what constraint processing is about. 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. 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._ - Roman Barták, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, "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 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." - Bart Selman, Cornell University "If you want to understand why this technology works, and how to make it work for you, then I recommend you read this book." - Toby Walsh, Cork Constraint Computation Centre "The book is rigorous but it is not difficult to read. An abundance of examples illustrate concepts and algorithms." - Pedro Meseguer, Institut d'Investigaci en Intelling ncia Artificial - Consejo Superior de Investigaciones Cient ficas (IIIA-CSIC) "An indispensable resource for researchers and practitioners in AI and optimization." - Henry Kautz, University of Washington "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." - Roman Bart k, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, "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 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.' -- Bart Selman, Cornell University "If you want to understand why this technology works, and how to make it work for you, then I recommend you read this book.' -- Toby Walsh, Cork Constraint Computation Centre "The book is rigorous but it is not difficult to read. An abundance of examples illustrate concepts and algorithms.' -- Pedro Meseguer, Institut d'Investigació en Intellingència Artificial - Consejo Superior de Investigaciones Científicas (IIIA-CSIC) "An indispensable resource for researchers and practitioners in AI and optimization.' -- Henry Kautz, University of Washington "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.' -- Roman Barták, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, "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 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." - Bart Selman, Cornell University "If you want to understand why this technology works, and how to make it work for you, then I recommend you read this book." - Toby Walsh, Cork Constraint Computation Centre "The book is rigorous but it is not difficult to read. An abundance of examples illustrate concepts and algorithms." - Pedro Meseguer, Institut d'Investigació en Intellingència Artificial - Consejo Superior de Investigaciones Científicas (IIIA-CSIC) "An indispensable resource for researchers and practitioners in AI and optimization." - Henry Kautz, University of Washington "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." - Roman Barták, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, "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 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." - Bart Selman, Cornell University "If you want to understand why this technology works, and how to make it work for you, then I recommend you read this book." - Toby Walsh, Cork Constraint Computation Centre "The book is rigorous but it is not difficult to read. An abundance of examples illustrate concepts and algorithms." - Pedro Meseguer, Institut d'Investigaci en Intellingncia Artificial - Consejo Superior de Investigaciones Cientficas (IIIA-CSIC) "An indispensable resource for researchers and practitioners in AI and optimization." - Henry Kautz, University of Washington "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." - Roman Bartk, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic
Illustrated
Yes
Dewey Decimal
005.1/1
Table Of Content
Preface; Introduction; Constraint Networks; Consistency-Enforcing Algorithms: Constraint Propagation; Directional Consistency; General Search Strategies; General Search Strategies: Look-Back; Local Search Algorithms; Advanced Consistency Methods; Tree-Decomposition Methods; Hybrid of Search and Inference: Time-Space Trade-offs; Tractable Constraint Languages; Temporal Constraint Networks; Constraint Optimization; Probabilistic Networks; Constraint Logic Programming; Bibliography
Synopsis
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. 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., 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. 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. Examines the basic practical aspects of each topic and then tackles more advanced issues, including current research challenges Builds the reader's understanding with definitions, examples, theory, algorithms and complexity analysis Synthesizes three decades of researchers work on constraint processing in AI, databases and programming languages, operations research, management science, and applied mathematics
LC Classification Number
QA76.612.D43 2003

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