Knowledge Representation and Reasoning

Szerző: Brachman

Nyelv:

Kötés: Kemény kötésű

Kiadó: Elsevier Science & Technology

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 11-15 napon belül

37 946 Ft

Knowledge representation is at the very core of a radical idea for understanding intelligence. Inste...

Információk a könyvről

Szerző

Brachman

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2004

oldal

416

EAN

9781558609327

ISBN

1558609326

Enbook ID

04230242

Kiadó

Elsevier Science & Technology

Súly

982

Méretek

198 x 240 x 28

Teljes leírás

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. The authors are well-recognized experts in the field who have applied the techniques to real-world problems. The book presents the core ideas of KR&R in a simple straight forward approach, independent of the quirks of research systems, and offers the first true synthesis of the field in over a decade.

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