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Knowledge representation and reasoning /

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...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Brachman, Ronald J., 1949-
Autres auteurs: Levesque, Hector J., 1951-
Format: Électronique eBook
Langue:Inglés
Publié: Amsterdam ; Boston : Morgan Kaufmann, �2004.
Sujets:
Accès en ligne:Texto completo

MARC

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016 7 |a 000026417379  |2 AU 
019 |a 856961365  |a 1058672514 
020 |a 9781558609327 
020 |a 1558609326 
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050 4 |a Q387  |b .B73 2004eb 
082 0 4 |a 006.3/32  |2 22 
100 1 |a Brachman, Ronald J.,  |d 1949- 
245 1 0 |a Knowledge representation and reasoning /  |c Ronald J. Brachman, Hector J. Levesque. 
260 |a Amsterdam ;  |a Boston :  |b Morgan Kaufmann,  |c �2004. 
300 |a 1 online resource (xxix, 381 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 
504 |a Includes bibliographical references (pages 349-375) and index. 
505 0 |a The language of first-order logic -- Expressing knowledge -- Resolution -- Reasoning with horn clauses -- Procedural control of reasoning -- Rules in production systems -- Object-oriented representation -- Structured descriptions -- Inheritance -- Defaults -- Vagueness, uncertainty, and degrees of belief -- Explanation and diagnosis -- Actions -- Planning -- The tradeoff between expressiveness and tractability. 
520 |a 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. *Authors are well-recognized experts in the field who have applied the techniques to real-world problems * Presents the core ideas of KR & R in a simple straight forward approach, independent of the quirks of research systems *Offers the first true synthesis of the field in over a decade. 
588 0 |a Print version record. 
650 0 |a Knowledge representation (Information theory) 
650 0 |a Reasoning. 
650 6 |a Repr�esentation des connaissances.  |0 (CaQQLa)201-0216689 
650 6 |a Raisonnement.  |0 (CaQQLa)201-0005918 
650 7 |a Knowledge representation (Information theory)  |2 fast  |0 (OCoLC)fst00988187 
650 7 |a Reasoning  |2 fast  |0 (OCoLC)fst01091282 
700 1 |a Levesque, Hector J.,  |d 1951- 
776 0 8 |i Print version:  |a Brachman, Ronald J., 1949-  |t Knowledge representation and reasoning.  |d Amsterdam ; Boston : Morgan Kaufmann, �2004  |z 1558609326  |z 9781558609327  |w (DLC) 2004046573  |w (OCoLC)54774915 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9781558609327  |z Texto completo