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Constraint processing /

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 h...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dechter, Rina, 1950-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Francisco : Morgan Kaufmann Publishers, ©2003.
Colección:Morgan Kaufmann Series in Artificial Intelligence Ser.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Dechter, Rina,  |d 1950- 
245 1 0 |a Constraint processing /  |c Rina Dechter ; with contributions by David Cohen, Peter Jeavons, Francesca Rossi. 
260 |a San Francisco :  |b Morgan Kaufmann Publishers,  |c ©2003. 
300 |a 1 online resource (xx, 481 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a The Morgan Kaufmann Series in Artificial Intelligence Ser. 
504 |a Includes bibliographical references (pages 441-458) and index. 
588 0 |a Print version record. 
505 0 |a 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. 
520 |a 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. 
546 |a English. 
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650 0 |a Constraint programming (Computer science) 
650 6 |a Programmation par contraintes. 
650 7 |a COMPUTERS  |x Programming  |x Open Source.  |2 bisacsh 
650 7 |a COMPUTERS  |x Software Development & Engineering  |x Tools.  |2 bisacsh 
650 7 |a COMPUTERS  |x Software Development & Engineering  |x General.  |2 bisacsh 
650 7 |a Constraint programming (Computer science)  |2 fast  |0 (OCoLC)fst00875873 
650 7 |a Constraint-Programmierung  |2 gnd 
650 7 |a Inteligência artificial.  |2 larpcal 
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830 0 |a Morgan Kaufmann Series in Artificial Intelligence Ser. 
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