Representations of Commonsense Knowledge

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 148322113X
Total Pages : 540 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Representations of Commonsense Knowledge by : Ernest Davis

Download or read book Representations of Commonsense Knowledge written by Ernest Davis and published by Morgan Kaufmann. This book was released on 2014-07-10 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representations of Commonsense Knowledge provides a rich language for expressing commonsense knowledge and inference techniques for carrying out commonsense knowledge. This book provides a survey of the research on commonsense knowledge. Organized into 10 chapters, this book begins with an overview of the basic ideas on artificial intelligence commonsense reasoning. This text then examines the structure of logic, which is roughly analogous to that of a programming language. Other chapters describe how rules of universal validity can be applied to facts known with absolute certainty to deduce other facts known with absolute certainty. This book discusses as well some prominent issues in plausible inference. The final chapter deals with commonsense knowledge about the interrelations and interactions among agents and discusses some issues in human and social interactions that have been studied in the artificial intelligence literature. This book is a valuable resource for students on a graduate course on knowledge representation.

Knowledge Representation and Reasoning

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 1558609326
Total Pages : 414 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Knowledge Representation and Reasoning by : Ronald Brachman

Download or read book Knowledge Representation and Reasoning written by Ronald Brachman and published by Morgan Kaufmann. This book was released on 2004-05-19 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Commonsense Reasoning

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Author :
Publisher : Elsevier
ISBN 13 : 0080476619
Total Pages : 431 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Commonsense Reasoning by : Erik T. Mueller

Download or read book Commonsense Reasoning written by Erik T. Mueller and published by Elsevier. This book was released on 2010-07-26 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world. Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states. The first full book on commonsense reasoning to use the event calculus. Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall. Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves. Includes fully worked out proofs and circumscriptions for every example.

Knowledge-Based Intelligent Information and Engineering Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3540232052
Total Pages : 962 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis Knowledge-Based Intelligent Information and Engineering Systems by : Mircea Gh. Negoita

Download or read book Knowledge-Based Intelligent Information and Engineering Systems written by Mircea Gh. Negoita and published by Springer Science & Business Media. This book was released on 2004-09-20 with total page 962 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand in September 2004. The over 450 papers presented were carefully reviewed and selected from numerous submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; among the areas covered are artificial intelligence, computational intelligence, cognitive technologies, soft computing, data mining, knowledge processing, various new paradigms in biologically inspired computing, and applications in various domains like bioinformatics, finance, signal processing etc.

Handbook of Knowledge Representation

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Publisher : Elsevier
ISBN 13 : 9780080557021
Total Pages : 1034 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Handbook of Knowledge Representation by : Frank van Harmelen

Download or read book Handbook of Knowledge Representation written by Frank van Harmelen and published by Elsevier. This book was released on 2008-01-08 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Associative Networks

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Publisher : Academic Press
ISBN 13 : 1483263010
Total Pages : 481 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Associative Networks by : Nicholas V. Findler

Download or read book Associative Networks written by Nicholas V. Findler and published by Academic Press. This book was released on 2014-05-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Associative Networks: Representation and Use of Knowledge by Computers is a collection of papers that deals with knowledge base of programs exhibiting some operational aspects of understanding. One paper reviews network formalism that utilizes unobstructed semantics, independent of the domain to which it is applied, that is also capable of handling significant epistemological relationships of concept structuring, attribute/value inheritance, multiple descriptions. Another paper explains network notations that encode taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, as well as the relationships between syntactic units and their interpretations. One paper shows that networks can be designed to be intuitively and formally interpretable. Network formalisms are computer-oriented logics which become distinctly significant when access paths from concepts to propositions are built into them. One feature of a topical network organization is its potential for learning. If one topic is too large, it could be broken down where groupings of propositions under the split topics are then based on "co-usage" statistics. As an example, one paper cites the University of Maryland artificial intelligence (AI) group which investigates the control and interaction of a meaning-based parser. The group also analyzes the inferences and predictions from a number of levels based on mundane inferences of actions and causes that can be used in AI. The collection can be useful for computer engineers, computer programmers, mathematicians, and researchers who are working on artificial intelligence.

The Knowledge Frontier

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Publisher : Springer Science & Business Media
ISBN 13 : 1461247926
Total Pages : 545 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis The Knowledge Frontier by : Nick Cercone

Download or read book The Knowledge Frontier written by Nick Cercone and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game playing. automatic programming. medical reasoning. diagnosis in various domains. and speech recogOltlOn. to name a few. are all currently experimenting with knowledge-based approaches. The problem of knowledge representation breaks down into several subsidiary problems including what knowledge to represent in a particular application. how to extract or create that knowledge. how to represent the knowledge efficiently and effectively. how to implement the knowledge representation scheme chosen. how to modify the knowledge in the face of a changing world. how to reason with the knowledge. and how tc use the knowledge appropriately in the creation of the application solution. This volume contains an elaboration of many of these basic issues from a variety of perspectives.

Qualitative Representation of Spatial Knowledge

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540580584
Total Pages : 220 pages
Book Rating : 4.81/5 ( download)

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Book Synopsis Qualitative Representation of Spatial Knowledge by : Daniel Hernandez

Download or read book Qualitative Representation of Spatial Knowledge written by Daniel Hernandez and published by Springer Science & Business Media. This book was released on 1994-06-28 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops, for the first time, a qualitative model for the representation of spatial knowledge based only on locative relations between the objects involved. The core of this book is devoted to the study of qualitative inference methods that take into account the rich structure of space. These methods can be applied to quite a number of areas characterized by uncertain or incomplete knowledge, as for example geographic information systems, robot control, computer-aided architectural design, and natural language information systems.

Principles of Knowledge Representation and Reasoning

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Author :
Publisher : Morgan Kaufmann
ISBN 13 :
Total Pages : 680 pages
Book Rating : 4.81/5 ( download)

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Book Synopsis Principles of Knowledge Representation and Reasoning by : Jon Doyle

Download or read book Principles of Knowledge Representation and Reasoning written by Jon Doyle and published by Morgan Kaufmann. This book was released on 1994 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of KR '94 comprise 55 papers on topics including deduction an search, description logics, theories of knowledge and belief, nonmonotonic reasoning and belief revision, action and time, planning and decision-making and reasoning about the physical world, and the relations between KR

Building Large Knowledge-based Systems

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Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Building Large Knowledge-based Systems by : Douglas B. Lenat

Download or read book Building Large Knowledge-based Systems written by Douglas B. Lenat and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter one presents the Cyc "philosophy" or paradigm. Chapter 2 presents a global overview of Cyc, including its representation language, the ontology f its knowledge base, and teh environment which it functions. Chapter 3 goes into much more detail on the representation language, including the structure and function of Cyc's metalevel agenda mechanism. Chapter 4 presents heuristics for ontological engineering, the pricnples upon whcihc Cyc's ontology is based. Chapter 5 the provides a glimpse into the global ontology of knowledge. Chapter 6 explains how we "solve" (i.e., adequately handle) the various tough representation thorns (substances, time, space, structures, composite mental/physical objects, beliefs, uncertainty, etc. ). Chapter 7 surveys the mistakes that new knowledge tnereres most often commit. Chapter 8, the concluding chapter, includes a brief status report on the project, and a statement of goals and a timetable for the coming five years.