Uncertainty and Intelligent Systems: 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge B by BERNADETTE BOUCHONUncertainty and Intelligent Systems: 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge B by BERNADETTE BOUCHON

Uncertainty and Intelligent Systems: 2nd International Conference on Information Processing and…

EditorBERNADETTE BOUCHON, Lorenza Saitta, Ronald R. Yager

Paperback | June 8, 1988

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This book contains the papers presented at the 2nd IPMU Conference, held in Urbino (Italy), on July 4-7, 1988. The 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. The proceedings of the conference provide, on one hand, the opportunity for researchers to have a comprehensive view of recent results and, on the other, bring to the attention of a broader community the potential impact of developments in this area for future generation knowledge-based systems. The main topics are the following: frameworks for knowledge-based systems: representation scheme, neural networks, parallel reasoning schemes; reasoning techniques under uncertainty: non-monotonic and default reasoning, evidence theory, fuzzy sets, possibility theory, Bayesian inference, approximate reasoning; information theoretical approaches; knowledge acquisition and automated learning.
Title:Uncertainty and Intelligent Systems: 2nd International Conference on Information Processing and…Format:PaperbackDimensions:416 pages, 9.25 × 6.1 × 0.68 inPublished:June 8, 1988Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540194029

ISBN - 13:9783540194026

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Table of Contents

Contents: Evidence Combination.- Fuzzy Mathematics.- Fuzzy Sets and Possibility Theory.- Information Theory.- Intelligent Data Base.- Knowledge Acquisition and Machine Learning.- Knowledge Representation.- Logics for Artificial Intelligence.- Neural Nets.- Reasoning Techniques Under Uncertainty.- Late Arrivals.- Invited Paper.