Knowledge, Representation and Reasoning (Morgan Kaufmann Series in Artificial Intelligence) (Hardback)
$77.36 - Save $20.59 21% off - RRP $97.95 Free shipping worldwide (to United States and
all these other countries) Usually dispatched within 48 hours | |Short Description for Knowledge, Representation and Reasoning 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.
Full description- Publisher: Morgan Kaufmann Publishers In
- Published: 17 June 2004
- Format: Hardback 381 pages
- See: Full bibliographic data
- Categories: Computer Science | Artificial Intelligence | Expert Systems / Knowledge-based Systems
- ISBN 13: 9781558609327 ISBN 10: 1558609326
- Sales rank: 365,348
Other books
Full description for 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 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.
