Handbook of Knowledge Representation Book
Score: 1
From 2 Ratings

Handbook of Knowledge Representation

  • Author : Frank van Harmelen
  • Publisher : Elsevier
  • Release Date : 2008-01-08
  • Genre: Computers
  • Pages : 1034
  • ISBN 10 : 0080557023

Handbook of Knowledge Representation 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

The Handbook of Artificial Intelligence Book

The Handbook of Artificial Intelligence

  • Author : Avron Barr
  • Publisher : Butterworth-Heinemann
  • Release Date : 2014-05-12
  • Genre: Mathematics
  • Pages : 442
  • ISBN 10 : 9781483214382

The Handbook of Artificial Intelligence Excerpt :

The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine and education, including ICAI systems design, intelligent CAI systems, medical systems, and other applications of AI to education. The manuscript explores automatic programming, as well as the methods of program specification, basic approaches, and automatic programming systems. The book is a valuable source of data for computer science experts and researchers interested in conducting further research in artificial intelligence.

The Description Logic Handbook Book

The Description Logic Handbook

  • Author : Franz Baader
  • Publisher : Cambridge University Press
  • Release Date : 2003-01-09
  • Genre: Computers
  • Pages : 555
  • ISBN 10 : 0521781760

The Description Logic Handbook Excerpt :

Table of contents

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

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

  • Author : Avron Barr
  • Publisher : Unknown
  • Release Date : 1981
  • Genre: Artificial intelligence
  • Pages : null
  • ISBN 10 : LCCN:80028621

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

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.

Handbook of Chemoinformatics Book

Handbook of Chemoinformatics

  • Author : Johann Gasteiger
  • Publisher : Unknown
  • Release Date : 2003
  • Genre: Cheminformatics
  • Pages : 1870
  • ISBN 10 : 3527306803

Handbook of Chemoinformatics Excerpt :

"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.

Readings in Knowledge Representation Book

Readings in Knowledge Representation

  • Author : Ronald J. Brachman
  • Publisher : Morgan Kaufmann Pub
  • Release Date : 1985
  • Genre: Reference
  • Pages : 602
  • ISBN 10 : UOM:39015013838092

Readings in Knowledge Representation Excerpt :

In Artificial Intelligence, it is often said that the representation of knowledge is the key to the design of robust intelligent systems. In one form or another the principles of Knowledge Representation are fundamental to work in natural language processing, computer vision, knowledge-based expert systems, and other areas. The papers reprinted in this volume have been collected to allow the reader with a general technical background in AI to explore the subtleties of this key subarea. These seminal articles, spanning a quarter-century of research, cover the most important ideas and developments in the representation field. The editors introduce each paper, discuss its relevance and context, and provide an extensive bibliography of other work. "Readings in Knowledge Representation" is intended to serve as a complete sourcebook for the study of this crucial subject.

The Cambridge Handbook of Artificial Intelligence Book

The Cambridge Handbook of Artificial Intelligence

  • Author : Keith Frankish
  • Publisher : Cambridge University Press
  • Release Date : 2014-06-12
  • Genre: Computers
  • Pages : 368
  • ISBN 10 : 9780521871426

The Cambridge Handbook of Artificial Intelligence Excerpt :

An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.

Knowledge Representation Book

Knowledge Representation

  • Author : Arthur B. Markman
  • Publisher : Psychology Press
  • Release Date : 2013-06-17
  • Genre: Psychology
  • Pages : 344
  • ISBN 10 : 9781134802975

Knowledge Representation Excerpt :

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.

Dynamic Knowledge Representation in Scientific Domains Book

Dynamic Knowledge Representation in Scientific Domains

  • Author : Pshenichny, Cyril
  • Publisher : IGI Global
  • Release Date : 2018-03-16
  • Genre: Science
  • Pages : 397
  • ISBN 10 : 9781522552628

Dynamic Knowledge Representation in Scientific Domains Excerpt :

The main approach to understanding and creating knowledge engineering concepts is static knowledge. Currently, there is a need to approach knowledge through a dynamic lens and address changing relations on an elaborated syntactic and semantic basis. Dynamic Knowledge Representation in Scientific Domains provides emerging research on the internal and external changes in knowledge within various subject areas and their visual representations. While highlighting topics such as behavior diagrams, distribution analysis, and qualitative modeling, this publication explores the structural development and assessment of knowledge models. This book is an important resource for academicians, researchers, students, and practitioners seeking current research on information visualization in order to foster research and collaboration.

The Handbook of Applied Expert Systems Book

The Handbook of Applied Expert Systems

  • Author : Jay Liebowitz
  • Publisher : CRC Press
  • Release Date : 2019-07-23
  • Genre: Computers
  • Pages : 736
  • ISBN 10 : 9780429606977

The Handbook of Applied Expert Systems Excerpt :

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.

Handbook of Information Science Book

Handbook of Information Science

  • Author : Wolfgang G. Stock
  • Publisher : Walter de Gruyter
  • Release Date : 2013-07-31
  • Genre: Language Arts & Disciplines
  • Pages : 911
  • ISBN 10 : 9783110235005

Handbook of Information Science Excerpt :

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.

Prediction and Analysis for Knowledge Representation and Machine Learning Book

Prediction and Analysis for Knowledge Representation and Machine Learning

  • Author : Avadhesh Kumar
  • Publisher : Chapman & Hall/CRC
  • Release Date : 2021-12
  • Genre: Computers
  • Pages : 220
  • ISBN 10 : 1003126898

Prediction and Analysis for Knowledge Representation and Machine Learning Excerpt :

A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system's perceived data, assisting scientists in the generation or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It has a significant impact on comprehending difficult scientific problems. Prediction and Analysis for Knowledge Representation and Machine Learningdemonstrates various knowledge representation and machine learning methodologies and architectures that will be active in the research field. The approaches are reviewed with real-life examples from a wide range of research topics. An understanding of a number of techniques and algorithms that are implemented in knowledge representation in machine learning is available through the book's website. Features: Examines the representational adequacy of needed knowledge representation Manipulates inferential adequacy for knowledge representation in order to produce new knowledge derived from the original information Improves inferential and acquisition efficiency by applying automatic methods to acquire new knowledge Covers the major challenges, concerns, and breakthroughs in knowledge representation and machine learning using the most up-to-date technology Describes the ideas of knowledge representation and related technologies, as well as their applications, in order to help humankind become better and smarter This book serves as a reference book for researchers and practitioners who are working in the field of information technology and compu

Handbook of Fuzzy Computation Book

Handbook of Fuzzy Computation

  • Author : E Ruspini
  • Publisher : CRC Press
  • Release Date : 1998-01-01
  • Genre: Mathematics
  • Pages : 1500
  • ISBN 10 : 0750304278

Handbook of Fuzzy Computation Excerpt :

Initially conceived as a methodology for the representation and manipulation of imprecise and vague information, fuzzy computation has found wide use in problems that fall well beyond its originally intended scope of application. Many scientists and engineers now use the paradigms of fuzzy computation to tackle problems that are either intractable or unrealistically time consuming. The extraordinary growth of fuzzy computation in recent years has led to the development of numerous systems of major practical importance in fields ranging from medical diagnosis and automated learning to image understanding and systems control. The Handbook of Fuzzy Computation provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. Divided into several parts, the handbook presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, and system control and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation. By focusing on the application of fuzzy computation methods to solve problems, this all-encompassing reference work enables scientists and engineers to understand the central aspects of this important computational methodology.

The Handbook of Artificial Intelligence Book
Score: 5
From 1 Ratings

The Handbook of Artificial Intelligence

  • Author : Avron Barr
  • Publisher : Addison Wesley Publishing Company
  • Release Date : 1981
  • Genre: Computers
  • Pages : 728
  • ISBN 10 : UOM:39015015181350

The Handbook of Artificial Intelligence Excerpt :

The fourth volume provides articles by AI experts on new technologies, theories, and research. Topics include blackboard systems, natural language understanding, expert systems, and knowledge-based software engineering. Annotation copyrighted by Book News, Inc., Portland, OR