Handbook of Knowledge Representation

Produk Detail:
  • Author : Frank van Harmelen
  • Publisher : Elsevier
  • Pages : 1034 pages
  • ISBN : 9780080557021
  • Rating : 1/5 from 2 reviews
CLICK HERE TO GET THIS BOOK >>>Handbook of Knowledge Representation

Download or Read online Handbook of Knowledge Representation full in PDF, ePub and kindle. this book written by Frank van Harmelen and published by Elsevier which was released on 08 January 2008 with total page 1034 pages. We cannot guarantee that Handbook of Knowledge Representation book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Handbook of Knowledge Representation

Handbook of Knowledge Representation
  • Author : Frank van Harmelen,Vladimir Lifschitz,Bruce Porter
  • Publisher : Elsevier
  • Release : 08 January 2008
GET THIS BOOK Handbook of Knowledge Representation

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

Outlines and Highlights for Handbook of Knowledge Representation by Frank Van Harmelen Isbn

Outlines and Highlights for Handbook of Knowledge Representation by Frank Van Harmelen  Isbn
  • Author : Cram101 Textbook Reviews
  • Publisher : Academic Internet Pub Incorporated
  • Release : 01 April 2011
GET THIS BOOK Outlines and Highlights for Handbook of Knowledge Representation by Frank Van Harmelen Isbn

Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780444522115 .

Studyguide for Handbook of Knowledge Representation by Harmelen Frank Van

Studyguide for Handbook of Knowledge Representation by Harmelen  Frank Van
  • Author : Cram101 Textbook Reviews
  • Publisher : Cram101
  • Release : 01 May 2013
GET THIS BOOK Studyguide for Handbook of Knowledge Representation by Harmelen Frank Van

Never HIGHLIGHT a Book Again Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9780872893795. This item is printed on demand.

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 : 21 January 1981
GET THIS BOOK The Handbook of Artificial Intelligence Search Knowledge representation Understanding natural language Understanding spoken language

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

Knowledge Acquisition for Expert Systems

Knowledge Acquisition for Expert Systems
  • Author : A. Kidd
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Knowledge Acquisition for Expert Systems

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

The Handbook of Artificial Intelligence

The Handbook of Artificial Intelligence
  • Author : Avron Barr,Edward A. Feigenbaum
  • Publisher : Butterworth-Heinemann
  • Release : 12 May 2014
GET THIS BOOK The Handbook of Artificial Intelligence

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

Handbook on Ontologies

Handbook on Ontologies
  • Author : Steffen Staab,Rudi Studer
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOK Handbook on Ontologies

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

The Handbook of Applied Expert Systems

The Handbook of Applied Expert Systems
  • Author : Jay Liebowitz
  • Publisher : CRC Press
  • Release : 23 July 2019
GET THIS BOOK The Handbook of Applied Expert Systems

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

The Handbook of Artificial Intelligence

The Handbook of Artificial Intelligence
  • Author : Avron Barr,Edward A. Feigenbaum
  • Publisher : Butterworth-Heinemann
  • Release : 12 May 2014
GET THIS BOOK The Handbook of Artificial Intelligence

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,

Reasoning with Actual and Potential Contradictions

Reasoning with Actual and Potential Contradictions
  • Author : Dov M. Gabbay,Philippe Smets
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOK Reasoning with Actual and Potential Contradictions

We are happy to present the second volume of the Handbook of Defeasible Reasoning and Uncertainty Management Systems. Uncertainty pervades the real world and must therefore be addressed by every system that attempts to represent reality. The representation of un certainty is a major concern of philosophers, logicians, artificial intelligence researchers and computer sciencists, psychologists, statisticians, economists and engineers. The present Handbook volumes provide frontline coverage of this area. This Handbook was produced in the style of previous handbook series

Graph Structures for Knowledge Representation and Reasoning

Graph Structures for Knowledge Representation and Reasoning
  • Author : Madalina Croitoru,Sebastian Rudolph,Nic Wilson,John Howse,Olivier Corby
  • Publisher : Springer
  • Release : 27 May 2012
GET THIS BOOK Graph Structures for Knowledge Representation and Reasoning

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2011, held in Barcelona, Spain, in July 2011 as satellite event of IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence. The 7 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 12 submissions. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques and investigate further developments

The Description Logic Handbook

The Description Logic Handbook
  • Author : Franz Baader
  • Publisher : Unknown
  • Release : 14 May 2014
GET THIS BOOK The Description Logic Handbook

Description logics are a family of knowledge representation languages that have been studied in artificial intelligence over the last two decades. They are embodied in knowledge-based systems and are used to develop various applications. This book provides a thorough account of the subject.

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 : 21 January 1989
GET THIS BOOK Artificial Intelligence in Accounting and Auditing Knowledge representation accounting applications and the future

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.