03027cam a2200277 a 4500 1/40124 100621s2004 ne 001 0 eng 9781558609327 1558609326 42874 OPELS eng OPELS OKU OCLCQ OCLCF GR-PeUP Brachman, Ronald J., 1949- Knowledge representation and reasoning [electronic resource] / Ronald J. Brachman, Hector J. Levesque. Amsterdam ; Boston : Morgan Kaufmann, c2004. 1 online resource (xxix, 381 p.) : ill. Includes bibliographical references (p. 349-375) and index. 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. 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. Knowledge Representation (Information Theory). Reasoning. Electronic books. Levesque, Hector J., 1951- INST UNIPILB EBOOKS 20100625 00b42874 00b42874 ONLINE 0 ScienceDirect http://www.sciencedirect.com/science/book/9781558609327 /webopac/covers/02/42874_9781558609327.jpg /webopac/covers/02/42874_1558609326.jpg