Knowledge Representation Reasoning by Brachman Ronald (24 results)

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Condition: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!

Hardcover. Condition: Brand New. 1st edition. 381 pages. 9.25x7.50x1.25 inches. In Stock.

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Hardcover. Condition: new. Hardcover. Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs. Examines the central concepts of knowledge representation. This book presents the various styles of representation and explains the basics of reasoning with that representation. It is suitable for researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 1032.

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Condition: New. Examines the central concepts of knowledge representation. This book presents the various styles of representation and explains the basics of reasoning with that representation. It is suitable for researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. Series: The Morgan Kaufmann Series in Artificial Intelligence. Num Pages: 381 pages, Illustrated. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 240 x 198 x 28. Weight in Grams: 830. . 2004. 1st Edition. Hardcover. . . . .

Paperback. Condition: Brand New. 1st edition. 381 pages. 9.25x7.38x0.94 inches. In Stock.

Condition: New. Examines the central concepts of knowledge representation. This book presents the various styles of representation and explains the basics of reasoning with that representation. It is suitable for researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. Series: The Morgan Kaufmann Series in Artificial Intelligence. Num Pages: 381 pages, Illustrated. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 240 x 198 x 28. Weight in Grams: 830. . 2004. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condition: new. Hardcover. Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs. Examines the central concepts of knowledge representation. This book presents the various styles of representation and explains the basics of reasoning with that representation. It is suitable for researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

gebundene Ausgabe. Condition: Sehr gut. Zust: Gutes Exemplar. Mit Vorbesitzereintrag. XXIX, 381 Seiten, Englisch 1020g.

Condition: new. Questo è un articolo print on demand.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs. 416 pp. Englisch.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs.