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Lecture Notes in Artificial Intelligence

Scalable Uncertainty Management

13th International Conference, SUM 2019, Compiègne, France, December 16–18, 2019, Proceedings

Editors: Ben Amor, Nahla, Quost, Benjamin, Theobald, Martin (Eds.)

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  • ISBN 978-3-030-35514-2
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Softcover $89.99
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About this book

This book constitutes the refereed proceedings of the 13th International Conference on Scalable Uncertainty Management, SUM 2019, which was held in Compiègne, France, in December 2019.
The 25 full, 4 short, 4 tutorial, 2 invited keynote papers presented in this volume were carefully reviewed and selected from 44 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.

Table of contents (33 chapters)

Table of contents (33 chapters)
  • An Experimental Study on the Behaviour of Inconsistency Measures

    Pages 1-8

    Thimm, Matthias

  • Inconsistency Measurement

    Pages 9-23

    Thimm, Matthias

  • Using Graph Convolutional Networks for Approximate Reasoning with Abstract Argumentation Frameworks: A Feasibility Study

    Pages 24-37

    Kuhlmann, Isabelle (et al.)

  • The Hidden Elegance of Causal Interaction Models

    Pages 38-51

    Renooij, Silja (et al.)

  • Computational Models for Cumulative Prospect Theory: Application to the Knapsack Problem Under Risk

    Pages 52-65

    Martin, Hugo (et al.)

Buy this book

eBook $69.99
price for USA in USD (gross)
  • ISBN 978-3-030-35514-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $89.99
price for USA in USD
  • ISBN 978-3-030-35513-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Scalable Uncertainty Management
Book Subtitle
13th International Conference, SUM 2019, Compiègne, France, December 16–18, 2019, Proceedings
Editors
  • Nahla Ben Amor
  • Benjamin Quost
  • Martin Theobald
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
11940
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-35514-2
DOI
10.1007/978-3-030-35514-2
Softcover ISBN
978-3-030-35513-5
Edition Number
1
Number of Pages
XI, 452
Number of Illustrations
163 b/w illustrations, 57 illustrations in colour
Topics