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Symbolic and Quantitative Approaches to Uncertainty

European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings

  • Conference proceedings
  • © 1991

Overview

Editors:
  1. Rudolf Kruse
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  2. Pierre Siegel
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 548)

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Table of contents (57 papers)

  1. Front Matter

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  2. Abduction in labelled deductive systems a conceptual abstract

    • D. M. Gabbay
    Pages 1-11

  3. Nonmonotonic inference, expectations, and neural networks

    • Peter Gärdenfors
    Pages 12-27

  4. Introduction

    Pages 29-32

  5. Imprecise quantifiers and conditional probabilities

    • Stéphane Amarger, Didier Dubois, Henri Prade
    Pages 33-37

  6. Default logics

    • Philippe Besnard
    Pages 38-41

  7. Propagation of uncertainty in dependence graphs

    • José Cano, Miguel Delgado, Serafín Moral
    Pages 42-47

  8. Efficient algorithms for belief functions based on the relationship between belief and probability

    • Mike Clarke, Nic Wilson
    Pages 48-52

  9. A brief overview of possibilistic logic

    • Didier Dubois, Jérôme Lang, Henri Prade
    Pages 53-57

  10. A modal analysis of possibility theory

    • Luis Fariñas del Cerro, Andreas Herzig
    Pages 58-62

  11. An extended logic language for representing belief

    • John Fox, Paul Krause, Mirko Dohnal
    Pages 63-69

  12. Graded default logics

    • Christine Froidevaux, Philippe Chatalic, Jérôme Mengin
    Pages 70-75

  13. Linguistically expressed uncertainty: Its elicitation and use in modular expert systems

    • L. Godo, R. Lopez de Mantaras
    Pages 76-80

  14. Reasoning with mass distributions and the context model

    • R. Kruse, J. Gebhardt, F. Klawonn
    Pages 81-85

  15. Advance prototyping

    • Simon Parsons
    Pages 86-90

  16. The transferable belief model

    • Ph. Smets, Y. -T. Hsia, A. Saffiotti, R. Kennes, H. Xu, E. Umkehren
    Pages 91-96

  17. Learning with CASTLE

    • S. Acid, L. M. de Campos, A. González, R. Molina, N. Pérez de la Blanca
    Pages 97-106

  18. A New approach to inference under uncertainty for knowledge based systems

    • J. F. Baldwin
    Pages 107-114

  19. Learning of uncertain classification rules in medical diagnosis

    • Elisabetta Binaghi
    Pages 115-119

  20. Assertional default theories

    • Gerhard Brewka
    Pages 120-124
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Keywords

About this book

A variety of formalisms have been developed to address such aspects of handling imperfect knowledge as uncertainty, vagueness, imprecision, incompleteness, and partial inconsistency. Some of the most familiar approaches in this research field are nonmonotonic logics, modal logics, probability theory (Bayesian and non-Bayesian), belief function theory, and fuzzy sets and possibility theory. ESPRIT Basic Research Action 3085, entitled Defeasible Reasoning and Uncertainty Management Systems (DRUMS), aims to contribute to the elucidation of similarities and differences between these formalisms. It consists of 11 active European research groups. The European Conference on Symbolic and Quantitative Approaches to Uncertainty (ESQAU) provides a forum for these groups to meet and discuss their scientific results. This volume contains 42 contributions accepted for the ESQAU meeting held in October 1991 in Marseille, together with 12 articles presenting the activities of the DRUMS groups and two invited presentations.

Bibliographic Information

  • Book Title: Symbolic and Quantitative Approaches to Uncertainty

  • Book Subtitle: European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings

  • Editors: Rudolf Kruse, Pierre Siegel

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-54659-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1991

  • Softcover ISBN: 978-3-540-54659-7Published: 01 October 1991

  • eBook ISBN: 978-3-540-46426-6Published: 06 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 368

  • Topics: Artificial Intelligence, Coding and Information Theory

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