| Handbook of Knowledge Representation: Volume 1 Contributor(s): Van Harmelen, Frank (Editor), Lifschitz, Vladimir (Editor), Porter, Bruce (Editor) |
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ISBN: 0444522115 ISBN-13: 9780444522115 Publisher: Elsevier Science OUR PRICE: $220.77 Product Type: Hardcover Published: January 2008 Annotation: Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence. * Make your computer smarter * Handle qualitative and uncertain information * Improve computational tractability to solve your problems easily |
| Additional Information |
| BISAC Categories: - Computers | Expert Systems - Computers | Computer Science |
| Dewey: 006.332 |
| Series: Foundations of Artificial Intelligence (Elsevier) |
| Physical Information: 1.85" H x 6.9" W x 9.73" (4.43 lbs) 1034 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. |