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Handbook of Knowledge Representation.
Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier,
2008.
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| Colección: | Foundations of Artificial Intelligence.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Van Harmelen, Frank. | |
| 245 | 1 | 0 | |a Handbook of Knowledge Representation. |
| 260 | |a Burlington : |b Elsevier, |c 2008. | ||
| 300 | |a 1 online resource (1035 pages). | ||
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| 490 | 1 | |a Foundations of Artificial Intelligence | |
| 520 | |a Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to s. | ||
| 505 | 0 | |a Front cover; Handbook of Knowledge Representation; Copyright page; Dedication; Preface; Editors; Contributors; Contents; Part I: General Methods in Knowledge Representation and Reasoning; Chapter 1. Knowledge Representation and Classical Logic; Chapter 2. Satisfiability Solvers; Chapter 3. Description Logics; Chapter 4. Constraint Programming; Chapter 5. Conceptual Graphs; Chapter 6. Nonmonotonic Reasoning; Chapter 7. Answer Sets; Chapter 8. Belief Revision; Chapter 9. Qualitative Modeling; Chapter 10. Model-based Problem Solving; Chapter 11. Bayesian Networks. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Knowledge representation (Information theory) | |
| 650 | 4 | |a Knowledge representation (Information theory) | |
| 650 | 4 | |a Computer science. | |
| 650 | 4 | |a Science. | |
| 650 | 6 | |a Représentation des connaissances. | |
| 650 | 7 | |a Knowledge representation (Information theory) |2 fast | |
| 700 | 1 | |a Lifschitz, Vladimir. | |
| 700 | 1 | |a Porter, Bruce. | |
| 758 | |i has work: |a Handbook of knowledge representation (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG3ghHFpjK9Tt97TQ8W8T3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Van Harmelen, Frank. |t Handbook of Knowledge Representation. |d Burlington : Elsevier, ©2008 |z 9780444522115 |
| 830 | 0 | |a Foundations of Artificial Intelligence. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=330132 |z Texto completo |
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