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7 edition of Uncertainty in knowledge-based systems found in the catalog.

Uncertainty in knowledge-based systems

International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, June 30-July 4, 1986 :selected and extended contributions

by International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (1986 Paris, France)

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  • 6 Currently reading

Published by Springer-Verlag in Berlin, New York .
Written in English

    Subjects:
  • Expert systems (Computer science) -- Congresses,
  • Uncertainty (Information theory) -- Congresses

  • Edition Notes

    Includes bibliographical references.

    StatementB. Bouchon, R.R. Yager (eds.).
    SeriesLecture notes in computer science ;, 286
    ContributionsBouchon-Meunier, B. 1948-, Yager, Ronald R., 1941-
    Classifications
    LC ClassificationsQA76.76.E95 I574 1986
    The Physical Object
    Paginationviii, 405 p. :
    Number of Pages405
    ID Numbers
    Open LibraryOL2398811M
    ISBN 103540185798, 0387185798
    LC Control Number87028782

    In this Ch., as well as in the following, we will study a unified approach for handling and processing sources of uncertainty in knowledge-based systems. This goal is achieved in the framework of. Jun 10,  · Read "Information Processing and Management of Uncertainty in Knowledge-Based Systems 16th International Conference, IPMU , Eindhoven, The Netherlands, June 20 - 24, , Proceedings, Part II" by available from Rakuten Kobo. Sign up today and get $5 off your first purchase. This two volume setBrand: Springer International Publishing.

    A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of 5/5(1). System Upgrade on Feb 12th During this period, E-commerce and registration of new users may not be available for up to 12 hours. For online purchase, please visit us again.

    May 30,  · Read "Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations 17th International Conference, IPMU , Cádiz, Spain, June , , Proceedings, Part I" by available from Rakuten Kobo. This three volume set (CCIS ) constitutes the proceedinBrand: Springer International Publishing. Get this from a library! Uncertainty models for knowledge-based systems: a unified approach to the measurement of uncertainty. [Irwin R Goodman; Hung T Nguyen].


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Uncertainty in knowledge-based systems by International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (1986 Paris, France) Download PDF EPUB FB2

Mar 29,  · The book is intended to be self-contained and addresses researchers and practioneers in the field of knowledge based systems. It is in particular suit­ able as a textbook for graduate-level students in AI, operations research and applied probability. A solid mathematical background is necessary for reading this angelstouch16.com by: Book Condition: Ex-library paperback in very nice condition with the usual markings and attachments.

Comment: Ex-library paperback in very nice condition with the usual markings and attachments. Access codes and supplements are not guaranteed with used angelstouch16.com by: The management of uncertainty in knowledge-based systems presents many complex and as yet not fully understood problems.

A number of these problems are addressed directly or indirectly in the papers assembled in this volumeCited by: In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems.

It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN).Cited by: The book is intended to be self-contained and addresses researchers and practioneers in the field of knowledge based systems.

Uncertainty in knowledge-based systems book is in particular suit­ able as a textbook for graduate-level students in AI, operations research and applied probability. A solid mathematical Author: Rudolf Kruse. Uncertainty in Knowledge-Based Systems International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, June 30 - July 4, Selected and Extended Contributions.

Editors: Bouchon. A significant part of the book looks at the management of uncertainty in a number of the paradigmatic domainsof intelligent systems such as expert systems, decision making, databases, image processing, and reasoning networks.

Uncertainty in Knowledge-Based Systems International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems Paris, France, June 30 – July 4, Selected and Extended Contributions. About this book This three volume set (CCIS ) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMUheld in Cádiz, Spain, in June The revised full papers were carefully reviewed and selected from submissions.

In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN).

Since itemset mining was proposed, various approaches have been devised, ranging from processing simple item-based databases to dealing with more complex databases including sequence, utility, or g Author: LeeGangin, YunUnil, RyangHeungmo. Computer and Information Science Book ) eBook: Jesús Medina, Manuel Ojeda-Aciego, José Luis Verdegay, David A.

Pelta, Inma P. Cabrera, Bernadette Bouchon-Meunier, Ronald R. Yager: Kindle Store angelstouch16.com: Information Processing and Management of Uncertainty in Knowledge-Based Systems. This Research Monograph is a first attempt to present a general framework for the manipulation and explanation of uncertainty in the design of knowledge-based expert systems.

15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMUMontpellier, France, July Pages Abstract Theory refinement is the task of updating a domain theory in the light of new cases, to be done automatically or with some expert assistance.

The problem of theory refinement under uncertainty is reviewed here in the context of Bayesian statistics, a theory of belief revision. Knowledge based systems depend on algorithms able to relate the inputs of a system to a correct answer coming out of the knowledge-base.

Practical systems Dealing with Subjective Uncertainty in Knowledge Based Systems - IEEE Conference PublicationCited by: 1. Special Issue on intelligent decision-making and consensus under uncertainty in inconsistent and dynamic environments Edited by Enrique Herrera-Viedma, Francisco Chiclana, Yucheng Dong, Vincenzo Loia, Hamido Fujita, Gang Kou.

Dealing with Subjective Uncertainty in Knowledge Based Systems Conference Paper in Proceedings - International Symposium on Computers and Communications · July with 56 Reads. This book contains the papers presented at the 2nd IPMU Conference, held in Urbino (Italy), on JulyThe theme of the conference, Management of Uncertainty and Approximate Reasoning, is at the heart of many knowledge-based systems and a number of approaches have been developed for representing these types of information.

This two volume set (CCIS and ) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMUheld in Eindhoven, The Netherlands, in June.

System Upgrade on Feb 12th For online purchase, please visit us again. Contact us at [email protected] for any enquiries. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. ISSN (print): Semantic Provenance Based Trustworthy Users Classification on Book-Based Social Network using Fuzzy Decision Tree.Get this from a library!

A Methodology for Uncertainty in Knowledge-Based Systems. [Kurt Weichselberger; Sigrid Pöhlmann] -- In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g.Knowledge-Based Systems for Engineers and Scientists describes the principles of knowledge-based systems and related techniques and their use in solving practical problems.

The book explains a variety of techniques including the use of artificial intelligence toolkits and languages, rule-based systems, uncertainty, blackboard systems, object-oriented systems, and machine learning.