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...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
San Francisco
Morgan Kaufmann Publishers
2003
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| Schriftenreihe: | The Morgan Kaufmann Series in Artificial Intelligence Ser
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781558608900/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references (pages 441-458) and index. - Print version record |
| Umfang: | 1 Online-Ressource (xx, 481 Seiten) illustrations |
| ISBN: | 1558608907 9781558608900 0080502954 9780080502953 1281072958 9781281072955 9786611072957 6611072950 |
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| spelling | Dechter, Rina 1950- VerfasserIn aut Constraint processing Rina Dechter ; with contributions by David Cohen, Peter Jeavons, Francesca Rossi San Francisco Morgan Kaufmann Publishers 2003 1 Online-Ressource (xx, 481 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Morgan Kaufmann Series in Artificial Intelligence Ser Includes bibliographical references (pages 441-458) and index. - Print version record 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. English. Constraint programming (Computer science) Programmation par contraintes COMPUTERS ; Programming ; Open Source COMPUTERS ; Software Development & Engineering ; Tools COMPUTERS ; Software Development & Engineering ; General Constraint-Programmierung Inteligência artificial 1558608907 Erscheint auch als Druck-Ausgabe 1558608907 |
| spellingShingle | Dechter, Rina 1950- Constraint processing Constraint programming (Computer science) Programmation par contraintes COMPUTERS ; Programming ; Open Source COMPUTERS ; Software Development & Engineering ; Tools COMPUTERS ; Software Development & Engineering ; General Constraint-Programmierung Inteligência artificial |
| title | Constraint processing |
| title_auth | Constraint processing |
| title_exact_search | Constraint processing |
| title_full | Constraint processing Rina Dechter ; with contributions by David Cohen, Peter Jeavons, Francesca Rossi |
| title_fullStr | Constraint processing Rina Dechter ; with contributions by David Cohen, Peter Jeavons, Francesca Rossi |
| title_full_unstemmed | Constraint processing Rina Dechter ; with contributions by David Cohen, Peter Jeavons, Francesca Rossi |
| title_short | Constraint processing |
| title_sort | constraint processing |
| topic | Constraint programming (Computer science) Programmation par contraintes COMPUTERS ; Programming ; Open Source COMPUTERS ; Software Development & Engineering ; Tools COMPUTERS ; Software Development & Engineering ; General Constraint-Programmierung Inteligência artificial |
| topic_facet | Constraint programming (Computer science) Programmation par contraintes COMPUTERS ; Programming ; Open Source COMPUTERS ; Software Development & Engineering ; Tools COMPUTERS ; Software Development & Engineering ; General Constraint-Programmierung Inteligência artificial |
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