Symbolic and Quantitative Approaches to Reasoning with Uncertainty

14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10–14, 2017, Proceedings

  • Alessandro Antonucci
  • Laurence Cholvy
  • Odile Papini

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10369)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10369)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. Analogical Reasoning

    1. Front Matter
      Pages 1-1
    2. Henri Prade, Gilles Richard
      Pages 3-9
  3. Argumentation

    1. Front Matter
      Pages 23-23
    2. Leila Amgoud, Jonathan Ben-Naim
      Pages 25-35
    3. Nadira Boudjani, Abdelkader Gouaich, Souhila Kaci
      Pages 36-45
    4. Anthony Hunter, Nico Potyka
      Pages 46-56
    5. Tuomo Lehtonen, Johannes P. Wallner, Matti Järvisalo
      Pages 57-68
  4. Bayesian Networks

    1. Front Matter
      Pages 81-81
    2. Janneke H. Bolt, Silja Renooij
      Pages 83-92
    3. Fabio G. Cozman, Denis D. Mauá
      Pages 93-103
    4. Linda C. van der Gaag, Stavros Lopatatzidis
      Pages 104-114
    5. Anders L. Madsen, Nicolaj Søndberg Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luis Neto et al.
      Pages 115-124
    6. Martin Plajner, Jiří Vomlel
      Pages 125-134
    7. Ahmed Samet, Thomas Guyet, Benjamin Negrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho
      Pages 135-145
    8. Jiří Vomlel, Václav Kratochvíl
      Pages 146-155
  5. Belief Functions

    1. Front Matter
      Pages 157-157

About these proceedings


This book constitutes the refereed proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2017, held in Lugano, Switzerland, in July 2017. The 44 revised full papers presented together with 5 abstracts of invited talks were carefully reviewed and selected from 63 submissions and cover topics on analogical reasoning; argumentation; Bayesian networks; belief functions; conditionals; credal sets, credal networks; decision theory, decision making and reasoning under uncertainty; fuzzy sets, fuzzy logic; logics; orthopairs; possibilistic networks; and probabilistic logics, probabilistic reasoning.


Analogical Reasoning Argumentation Bayesian Networks Belief Functions Conditionals Credal Sets Credal Networks Decision Theory Decision Making under Uncertainty Fuzzy Sets Fuzzy Logic Possibilistic Networks Probabilistic Logic Probabilistic Reasoning Artificial Intelligence Probability Programming Languages Logic Programming Knowledge Based Systems Learning Systems

Editors and affiliations

  1. 1.IDSIALuganoSwitzerland
  2. 2.ONERAToulouseFrance
  3. 3.Aix-Marseille UniversityMarseilleFrance

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61580-6
  • Online ISBN 978-3-319-61581-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site