Handbook of Knowledge Representation Books

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Handbook of Knowledge Representation


Handbook of Knowledge Representation
  • Author : Frank van Harmelen
  • Publisher : Elsevier
  • Release : 2008-01-08
  • ISBN : 0080557023
  • Language : En, Es, Fr & De
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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. * Make your computer smarter * Handle qualitative and uncertain information * Improve computational tractability to solve your problems easily

Knowledge Representation and Reasoning


Knowledge Representation and Reasoning
  • Author : Ronald Brachman
  • Publisher : Morgan Kaufmann
  • Release : 2004-06-02
  • ISBN : 1558609326
  • Language : En, Es, Fr & De
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Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.

The Handbook of Artificial Intelligence


The Handbook of Artificial Intelligence
  • Author : Avron Barr
  • Publisher : Butterworth-Heinemann
  • Release : 2014-05-12
  • ISBN : 9781483214375
  • Language : En, Es, Fr & De
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The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects. The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence.

Foundations of Knowledge Representation and Reasoning


Foundations of Knowledge Representation and Reasoning
  • Author : Gerhard Lakemeyer
  • Publisher : Springer Science & Business Media
  • Release : 1994-06-28
  • ISBN : 3540581073
  • Language : En, Es, Fr & De
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The papers collected in this book cover a wide range of topics in asymptotic statistics. In particular up-to-date-information is presented in detection of systematic changes, in series of observation, in robust regression analysis, in numerical empirical processes and in related areas of actuarial sciences and mathematical programming. The emphasis is on theoretical contributions with impact on statistical methods employed in the analysis of experiments and observations by biometricians, econometricians and engineers.

The Handbook of Artificial Intelligence Search Knowledge representation Understanding natural language Understanding spoken language


The Handbook of Artificial Intelligence  Search   Knowledge representation   Understanding natural language   Understanding spoken language
  • Author : Avron Barr
  • Publisher :
  • Release : 1981
  • ISBN : LCCN:80028621
  • Language : En, Es, Fr & De
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What is a "heuristic problem-solving program?" How do computers understand English? What are "semantic nets" or "frames?" Can computer programs outperform human experts? Such questions -- asked by scientists, engineers, students, and hobbyists encountering Artificial Intelligence for the first time -- can now be readily answered by The Handbook of Artificial Intelligence, a work which makes the full scope of important techniques and concepts of AI available for the first time to the rapidly expanding world of computer technologists and users. The scope of this handbook is broad: over 200 short articles covering all of the important ideas, techniques, and systems developed during 25 years of research in the AI field. The articles are written for people with no background in AI. Some articles serve as overviews, discussing the various approaches within a subfield, the issues, and the problems. The handbook is a reference work, a textbook, a guide to programming techniques and to the extensive literature of the field, and a book for intellectual browsing. Jargon has been eliminated in each of the short, penetrating articles, and the hierarchical organization of the book allows readers to choose how deeply they wish to delve into a particular subject. Conceived and produced at Stanford University's Department of Computer Science, with contributions from universities and laboratories across the nation, The Handbook of Artificial Intelligence promises to become the standard reference work in the rapidly growing AI field. - Jacket.