April 17, 2021

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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 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,Edward A. Feigenbaum
Publisher : Unknown
Release Date : 1981
Category : Artificial intelligence
Total pages :129
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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.

Handbook of Automated Reasoning

Handbook of Automated Reasoning
Author : Alan J.A. Robinson,Andrei Voronkov
Publisher : Gulf Professional Publishing
Release Date : 2001-07-05
Category : Computers
Total pages :2122
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Handbook of Automated Reasoning.

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.

Knowledge Acquisition for Expert Systems

Knowledge Acquisition for Expert Systems
Author : A. Kidd
Publisher : Springer Science & Business Media
Release Date : 2012-12-06
Category : Psychology
Total pages :208
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Building an expert system involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving problems. Expe rience has shown that this process of "knowledge acquisition" is both difficult and time consuming and is often a major bottleneck in the production of expert systems. Unfortunately, an adequate theoretical basis for knowledge acquisition has not yet been established. This re quires a classification of knowledge domains and problem-solving tasks and an improved understanding of the relationship between knowledge structures in human and machine. In the meantime, expert system builders need access to information about the techniques currently being employed and their effectiveness in different applications. The aim of this book, therefore, is to draw on the experience of AI scientists, cognitive psychologists, and knowledge engineers in discussing particular acquisition techniques and providing practical advice on their application. Each chapter provides a detailed description of a particular technique or methodology applied within a selected task domain. The relative strengths and weaknesses of the tech nique are summarized at the end of each chapter with some suggested guidelines for its use. We hope that this book will not only serve as a practical handbook for expert system builders, but also be of interest to AI and cognitive scientists who are seeking to develop a theory of knowledge acquisition for expert systems.

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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The Oxford Handbook of Expertise

The Oxford Handbook of Expertise
Author : Paul Ward
Publisher : Oxford University Press, USA
Release Date : 2019-10-17
Category :
Total pages :1312
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The study of expertise weaves its way through various communities of practice, across disciplines, and over millennia. To date, the study of expertise has been primarily concerned with how human beings perform at a superior level in complex environments and sociotechnical systems, and at the highest levels of proficiency. However, more recent research has continued the search for better descriptions, and causal mechanisms that explain the complexities of expertise in context, with a view to translating this understanding into useful predictions and interventions capable of improving the performance of human systems as efficiently as possible. The Oxford Handbook of Expertise provides a comprehensive picture of the field of Expertise Studies. It offers both traditional and contemporary perspectives, and importantly, a multidiscipline-multimethod view of the science and engineering research on expertise. The book presents different perspectives, theories, and methods of conducting expertise research, all of which have had an impact in helping us better understand expertise across a broad range of domains. The Handbook also describes how researchers and practitioners have addressed practical problems and societal challenges. Throughout, the authors have sought to demonstrate the heterogeneity of approaches and conceptions of expertise, to place current views of expertise in context, to show how these views can be used to address current issues, and to examine ways to advance the study of expertise. The Oxford Handbook of Expertise is an essential resource both to those wanting to gain an up-to-date knowledge of the science of expertise and those wishing to study experts.

Handbook of Knowledge and Economics

Handbook of Knowledge and Economics
Author : Richard Arena,Agnès Festré,Nathalie Lazaric
Publisher : Edward Elgar Publishing
Release Date : 2012-01-01
Category : Business & Economics
Total pages :544
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'While there is growing recognition that understanding knowledge is at the very heart of economics, little work has thus far been forthcoming representing in a comprehensive and coherent way its fundamental nature and wide-ranging consequences for economic analysis. The editors are to be commended for having filled this critical gap by providing a well-organized collection of outstanding contributions. This rich and greatly needed Handbook is comprised of contributions about the role knowledge plays in the history of the discipline as well as the most significant current developments as we witness them, particularly in the branches of evolutionary, institutional and complexity economics.' – Kurt Dopfer, University of St Gallen, Switzerland Why do societies benefit differently from knowledge? How exactly does social interaction interfere with knowledge acquisition and diffusion? This original Handbook brings together a wide range of differing approaches to shed light on these questions and others relating to the role and relevance of knowledge in economic analysis. By illuminating the philosophical roots of the various notions of knowledge employed by economists, this Handbook helps to disentangle conceptual and typological issues surrounding the debate on knowledge among economists. Wide-ranging in scope, it explores fundamental aspects of the relationship between knowledge and economics – such as the nature of knowledge, knowledge acquisition and knowledge diffusion. This important compendium embraces various fields and traditions of economic analysis and discusses the role of knowledge in 21 papers from outstanding international scholars. Advanced scholars and postgraduate students interested in cross-fertilization between different fields of economic analysis will find this Handbook of considerable importance.

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.

Artificial Intelligence in Accounting and Auditing: Knowledge representation, accounting applications and the future

Artificial Intelligence in Accounting and Auditing: Knowledge representation, accounting applications and the future
Author : Miklos A. Vasarhelyi
Publisher : Markus Wiener Pub
Release Date : 1989
Category : Business & Economics
Total pages :322
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A study of artificial intelligence in accounting and auditing, this handbook addresses knowledge representation, accounting applications and the future. Topics covered include: knowledge elicitation and representation; belief nets of Bayesian revisions; accounting applications; and more.

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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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 on Ontologies

Handbook on Ontologies
Author : Steffen Staab,Rudi Studer
Publisher : Springer Science & Business Media
Release Date : 2013-04-17
Category : Computers
Total pages :660
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An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.

The Handbook of Artificial Intelligence

The Handbook of Artificial Intelligence
Author : Paul R. Cohen,Edward A. Feigenbaum
Publisher : Butterworth-Heinemann
Release Date : 2014-06-05
Category : Mathematics
Total pages :658
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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

Handbook of Game-Based Learning

Handbook of Game-Based Learning
Author : Jan L. Plass,Richard E. Mayer,Bruce D. Homer
Publisher : MIT Press
Release Date : 2020-02-04
Category : Education
Total pages :600
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A comprehensive introduction to the latest research and theory on learning and instruction with computer games. This book offers a comprehensive introduction to the latest research on learning and instruction with computer games. Unlike other books on the topic, which emphasize game development or best practices, Handbook of Game-Based Learning is based on empirical findings and grounded in psychological and learning sciences theory. The contributors, all leading researchers in the field, offer a range of perspectives, including cognitive, motivational, affective, and sociocultural. They explore research on whether (and how) computer games can help students learn educational content and academic skills; which game features (including feedback, incentives, adaptivity, narrative theme, and game mechanics) can improve the instructional effectiveness of these games; and applications, including games for learning in STEM disciplines, for training cognitive skills, for workforce learning, and for assessment. The Handbook offers an indispensable reference both for readers with practical interests in designing or selecting effective game-based learning environments and for scholars who conduct or evaluate research in the field. It can also be used in courses related to play, cognition, motivation, affect, instruction, and technology. Contributors Roger Azevedo, Ryan S. Baker, Daphne Bavelier, Amanda E. Bradbury, Ruth C. Clark, Michele D. Dickey, Hamadi Henderson, Bruce D. Homer, Fengfeng Ke, Younsu Kim, Charles E. Kinzer, Eric Klopfer, James C. Lester, Kristina Loderer, Richard E. Mayer, Bradford W. Mott, Nicholas V. Mudrick, Brian Nelson, Frank Nguyen, V. Elizabeth Owen, Shashank Pawar, Reinhard Pekrun, Jan L. Plass, Charles Raffale, Jonathon Reinhardt, C. Scott Rigby, Jonathan P. Rowe, Richard M. Ryan, Ruth N. Schwartz, Quinnipiac Valerie J. Shute, Randall D. Spain, Constance Steinkuehler, Frankie Tam, Michelle Taub, Meredith Thompson, Steven L. Thorne, A. M. Tsaasan