November 24, 2020

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Handbook of Knowledge Representation

Handbook of Knowledge Representation
Author : Frank van Harmelen,Vladimir Lifschitz,Bruce Porter
Publisher : Elsevier
Release Date : 2008-01-08
Category : Computers
Total pages :1034
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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

The Description Logic Handbook

The Description Logic Handbook
Author : Franz Baader,Diego Calvanese,Deborah McGuinness,Peter Patel-Schneider,Daniele Nardi
Publisher : Cambridge University Press
Release Date : 2003-01-09
Category : Computers
Total pages :555
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Table of contents

The Handbook of Artificial Intelligence

The Handbook of Artificial Intelligence
Author : Avron Barr,Edward A. Feigenbaum
Publisher : Butterworth-Heinemann
Release Date : 2014-05-12
Category : Mathematics
Total pages :424
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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.

The Handbook of Applied Expert Systems

The Handbook of Applied Expert Systems
Author : Jay Liebowitz
Publisher : CRC Press
Release Date : 2019-07-23
Category : Computers
Total pages :736
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The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.

Representation of Knowledge (a Section of the Handbook of Artificial Intelligence, Edited by Avron Barr and Edward A. Feigenbaum).

Representation of Knowledge (a Section of the Handbook of Artificial Intelligence, Edited by Avron Barr and Edward A. Feigenbaum).
Author : Avron Barr,Stanford University. Computer Science Department
Publisher : Unknown
Release Date : 1980
Category : Artificial intelligence
Total pages :76
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Handbook on Knowledge Management 1

Handbook on Knowledge Management 1
Author : Clyde Holsapple
Publisher : Springer Science & Business Media
Release Date : 2013-04-17
Category : Computers
Total pages :700
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As the most comprehensive reference work dealing with knowledge management (KM), this work, consisting of 2 volumes, is essential for the library of every KM practitioner, researcher, and educator. Written by an international array of KM luminaries, its approx. 60 chapters approach knowledge management from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come.

Principles of Semantic Networks

Principles of Semantic Networks
Author : Alexander Borgida
Publisher : Morgan Kaufmann Pub
Release Date : 1991
Category : Artificial intelligence
Total pages :582
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Handbook of Information Science

Handbook of Information Science
Author : Wolfgang G. Stock,Mechtild Stock
Publisher : Walter de Gruyter
Release Date : 2013-07-31
Category : Language Arts & Disciplines
Total pages :911
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Dealing with information is one of the vital skills in the 21st century. It takes a fair degree of information savvy to create, represent and supply information as well as to search for and retrieve relevant knowledge. How does information (documents, pieces of knowledge) have to be organized in order to be retrievable? What role does metadata play? What are search engines on the Web, or in corporate intranets, and how do they work? How must one deal with natural language processing and tools of knowledge organization, such as thesauri, classification systems, and ontologies? How useful is social tagging? How valuable are intellectually created abstracts and automatically prepared extracts? Which empirical methods allow for user research and which for the evaluation of information systems? This Handbook is a basic work of information science, providing a comprehensive overview of the current state of information retrieval and knowledge representation. It addresses readers from all professions and scientific disciplines, but particularly scholars, practitioners and students of Information Science, Library Science, Computer Science, Information Management, and Knowledge Management. This Handbook is a suitable reference work for Public and Academic Libraries.

Graph Structures for Knowledge Representation and Reasoning

Graph Structures for Knowledge Representation and Reasoning
Author : Madalina Croitoru,Pierre Marquis,Sebastian Rudolph,Gem Stapleton
Publisher : Springer
Release Date : 2018-03-21
Category : Computers
Total pages :139
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This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2017, held in Melbourne, VIC, Australia, in August 2017, associated with IJCAI 2017, the 26th International Joint Conference on Artificial Intelligence. The 7 revised full papers presented were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background allows to bridge the gap between the different communities.

Knowledge Representation

Knowledge Representation
Author : Arthur B. Markman
Publisher : Psychology Press
Release Date : 2013-06-17
Category : Psychology
Total pages :344
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Knowledge representation is fundamental to the study of mind. All theories of psychological processing are rooted in assumptions about how information is stored. These assumptions, in turn, influence the explanatory power of theories. This book fills a gap in the existing literature by providing an overview of types of knowledge representation techniques and their use in cognitive models. Organized around types of representations, this book begins with a discussion of the foundations of knowledge representation, then presents discussions of different ways that knowledge representation has been used. Both symbolic and connectionist approaches to representation are discussed and a set of recommendations about the way representations should be used is presented. This work can be used as the basis for a course on knowledge representation or can be read independently. It will be useful to students of psychology as well as people in related disciplines--computer science, philosophy, anthropology, and linguistics--who want an introduction to techniques for knowledge representation.

Neural Networks for Knowledge Representation and Inference

Neural Networks for Knowledge Representation and Inference
Author : Daniel S. Levine,Manuel Aparicio,Manuel Aparicio, IV
Publisher : Psychology Press
Release Date : 1994
Category : Psychology
Total pages :503
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The second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks -- well established for statistical pattern matching -- can perform the higher cognitive functions that are more often associated with symbolic approaches. This controversy has a long history, but recently erupted with arguments against the abilities of renewed neural network developments. More broadly than other attempts, the diverse contributions presented here not only address the theory and implementation of artificial neural networks for higher cognitive functions, but also critique the history of assumed epistemologies -- both neural networks and AI -- and include several neurobiological studies of human cognition as a real system to guide the further development of artificial ones. Organized into four major sections, this volume: * outlines the history of the AI/neural network controversy, the strengths and weaknesses of both approaches, and shows the various capabilities such as generalization and discreetness as being along a broad but common continuum; * introduces several explicit, theoretical structures demonstrating the functional equivalences of neurocomputing with the staple objects of computer science and AI, such as sets and graphs; * shows variants on these types of networks that are applied in a variety of spheres, including reasoning from a geographic database, legal decision making, story comprehension, and performing arithmetic operations; * discusses knowledge representation process in living organisms, including evidence from experimental psychology, behavioral neurobiology, and electroencephalographic responses to sensory stimuli.

Handbook of Chemoinformatics

Handbook of Chemoinformatics
Author : Johann Gasteiger
Publisher : Unknown
Release Date : 2003
Category : Cheminformatics
Total pages :1870
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"The new discipline of chemoinformatics covers the application of computer-assisted methods to chemical problems such as information storage and retrieval, the prediction of physical, chemical or biological properties of compounds, spectra simulation, structure elucidation, reaction modeling, synthesis planning and drug design. ... this four-volume Handbook contains in-depth contributions from top authors from around the world, with the content organized into chapters dealing with the representation of molecular structures and reactions, data types and databases/data sources, search methods, methods for data analysis as well as applications"--Back cover.

The Information System Consultant's Handbook

The Information System Consultant's Handbook
Author : William S. Davis,David C. Yen
Publisher : CRC Press
Release Date : 2019-04-30
Category : Computers
Total pages :800
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The Information System Consultant's Handbook familiarizes systems analysts, systems designers, and information systems consultants with underlying principles, specific documentation, and methodologies. Corresponding to the primary stages in the systems development life cycle, the book divides into eight sections: Principles Information Gathering and Problem Definition Project Planning and Project Management Systems Analysis Identifying Alternatives Component Design Testing and Implementation Operation and Maintenance Eighty-two chapters comprise the book, and each chapter covers a single tool, technique, set of principles, or methodology. The clear, concise narrative, supplemented with numerous illustrations and diagrams, makes the material accessible for readers - effectively outlining new and unfamiliar analysis and design topics.

The Cambridge Handbook of Artificial Intelligence

The Cambridge Handbook of Artificial Intelligence
Author : Keith Frankish,William M. Ramsey
Publisher : Cambridge University Press
Release Date : 2014-06-12
Category : Computers
Total pages :368
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An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.

Foundations of Knowledge Representation and Reasoning

Foundations of Knowledge Representation and Reasoning
Author : Gerhard Lakemeyer
Publisher : Springer Science & Business Media
Release Date : 1994-06-28
Category : Computers
Total pages :355
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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.