Symbolic and Quantitative Approaches to Reasoning with Uncertainty

12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013. Proceedings

  • Linda C. van der Gaag
Conference proceedings ECSQARU 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7958)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7958)

Table of contents

  1. Front Matter
  2. Leila Amgoud, Henri Prade
    Pages 1-12
  3. Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
    Pages 13-24
  4. Marco Baioletti, Davide Petturiti, Barbara Vantaggi
    Pages 37-48
  5. Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, Gabriele Kern-Isberner
    Pages 49-60
  6. Imen Boukhris, Salem Benferhat, Zied Elouedi
    Pages 61-72
  7. Cory J. Butz, Wen Yan, Anders L. Madsen
    Pages 73-84
  8. Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano
    Pages 85-96
  9. Martin Caminada, Samy Sá, João Alcântara
    Pages 97-108
  10. Arthur Choi, Doga Kisa, Adnan Darwiche
    Pages 121-132
  11. Giulianella Coletti, Davide Petturiti, Barbara Vantaggi
    Pages 133-144
  12. Fabio Gagliardi Cozman, Lucas Fargoni di Ianni
    Pages 145-156
  13. Jasper De Bock, Gert de Cooman
    Pages 157-168
  14. Didier Dubois, Henri Prade, Agnès Rico
    Pages 169-180
  15. Didier Dubois, Henri Prade, Fayçal Touazi
    Pages 181-193
  16. Tommaso Flaminio, Lluis Godo, Hykel Hosni
    Pages 206-217

About these proceedings


This book constitutes the refereed proceedings of the 12th European
Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013, held in Utrecht, The Netherlands, in July 2013.
The 44 revised full papers presented were carefully reviewed and
selected from 89 submissions. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.


bayesian networks dynamic logic information fusion strong completeness weighted social network

Editors and affiliations

  • Linda C. van der Gaag
    • 1
  1. 1.Department of Information and Computing SciencesUtrecht UniversityUtrechtThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-39090-6
  • Online ISBN 978-3-642-39091-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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