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Scalable Uncertainty Management

11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings

  • Serafín Moral
  • Olivier Pivert
  • Daniel Sánchez
  • Nicolás Marín

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10564)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10564)

Table of contents

  1. Front Matter
    Pages I-XIX
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. Inés Couso, Didier Dubois, Eyke Hüllermeier
      Pages 3-16
    3. Olivier Cailloux, Sébastien Destercke
      Pages 17-30
    4. Stefan Borgwardt, Rafael Peñaloza
      Pages 31-45
  3. Regular Papers

    1. Front Matter
      Pages 47-47
    2. Nicolás Marín, Gustavo Rivas-Gervilla, Daniel Sánchez
      Pages 49-63
    3. Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Luis Redondo-Expósito
      Pages 64-77
    4. Sébastien Harispe, Massissilia Medjkoune, Jacky Montmain
      Pages 78-92
    5. Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson
      Pages 93-106
    6. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
      Pages 107-118
    7. Francisco Henrique Otte Vieira de Faria, Fabio Gagliardi Cozman, Denis Deratani Mauá
      Pages 119-133
    8. Richard Billingsley, John Billingsley, Peter Gärdenfors, Pavlos Peppas, Henri Prade, David Skillicorn et al.
      Pages 149-162
    9. Nahla Ben Amor, Didier Dubois, Héla Gouider, Henri Prade
      Pages 163-177
    10. Sylvie Doutre, Jean-Guy Mailly
      Pages 194-207
    11. Leila Amgoud, Jonathan Ben-Naim
      Pages 208-222
    12. Sylwia Polberg, Anthony Hunter, Matthias Thimm
      Pages 223-236
    13. Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny, Nicolas Maudet
      Pages 237-251
    14. Steven D. Prestwich, Federico Toffano, Nic Wilson
      Pages 252-265
    15. Marco Wilhelm, Marc Finthammer, Gabriele Kern-Isberner, Christoph Beierle
      Pages 266-279
    16. Carlos Molina, Belén Prados-Suárez, Antonio Cortes-Romero
      Pages 295-306
    17. Salem Benferhat, Khaoula Boutouhami, Faiza Khellaf, Farid Nouioua
      Pages 319-333
    18. Laurent Garcia, Claire Lefèvre, Odile Papini, Igor Stéphan, Éric Würbel
      Pages 334-347
    19. Célia da Costa Pereira, Didier Dubois, Henri Prade, Andrea G. B. Tettamanzi
      Pages 363-376
  4. Short Papers

    1. Front Matter
      Pages 389-389
    2. Víctor Martínez, Fernando Berzal, Juan-Carlos Cubero
      Pages 391-396
    3. Fernando Bobillo, Lacramioara Dranca, Jorge Bernad
      Pages 397-404
    4. Pauline Minary, Frédéric Pichon, David Mercier, Eric Lefevre, Benjamin Droit
      Pages 405-411
    5. Carlos Molina, María D. Ruiz, Daniel Sánchez, José M. Serrano
      Pages 412-419
    6. Ginés Moreno, Jaime Penabad, José Antonio Riaza
      Pages 420-426
  5. Back Matter
    Pages 437-438

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017. 

The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The book also contains 3 invited papers.
Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now, with the advent of massive amounts of data and knowledge from distributed, heterogeneous, and potentially conflicting sources, there is interest in developing and applying formalisms for uncertainty and inconsistency in systems that need to better manage this data and knowledge. The International Conference on Scalable Uncertainty (SUM) aims to provide a forum for researchers who are working on uncertainty management, in different communities and with different uncertainty models, to meet and exchange ideas.

Keywords

argumentation artificial intelligence Bayesian networks data provenance formal logic fuzzy logic heuristic information multiple-agent logic problem solving probability knowledge based systems learning systems logic programming maximum likleyhood non-monotonic reasoning risk analysis probability programming languages semantics uncertainty

Editors and affiliations

  1. 1.University of GranadaGranadaSpain
  2. 2.University of Rennes ILannionFrance
  3. 3.University of GranadaGranadaSpain
  4. 4.University of GranadaGranadaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67582-4
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-67581-7
  • Online ISBN 978-3-319-67582-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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