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Scalable Uncertainty Management

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

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Serafín Moral

    1. University of Granada, Granada, Spain

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  2. Olivier Pivert

    1. University of Rennes I, Lannion, France

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  3. Daniel Sánchez

    1. University of Granada, Granada, Spain

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  4. Nicolás Marín

    1. University of Granada, Granada, Spain

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: SUM 2017.

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Table of contents (33 papers)

  1. Front Matter

    Pages I-XIX
    Download chapter PDF

  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Maximum Likelihood Estimation and Coarse Data

      • Inés Couso, Didier Dubois, Eyke Hüllermeier
      Pages 3-16

    3. Reasons and Means to Model Preferences as Incomplete

      • Olivier Cailloux, Sébastien Destercke
      Pages 17-30

    4. Fuzzy Description Logics – A Survey

      • Stefan Borgwardt, Rafael Peñaloza
      Pages 31-45

  3. Regular Papers

    1. Front Matter

      Pages 47-47
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    2. Using k-Specificity for the Management of Count Restrictions in Flexible Querying

      • Nicolás Marín, Gustavo Rivas-Gervilla, Daniel Sánchez
      Pages 49-63

    3. Comparing Machine Learning and Information Retrieval-Based Approaches for Filtering Documents in a Parliamentary Setting

      • Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Luis Redondo-Expósito
      Pages 64-77

    4. Eliciting Implicit Evocations Using Word Embeddings and Knowledge Representation

      • Sébastien Harispe, Massissilia Medjkoune, Jacky Montmain
      Pages 78-92

    5. K-Nearest Neighbour Classification for Interval-Valued Data

      • Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson
      Pages 93-106

    6. Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions

      • Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
      Pages 107-118

    7. Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization

      • Francisco Henrique Otte Vieira de Faria, Fabio Gagliardi Cozman, Denis Deratani Mauá
      Pages 119-133

    8. Fault Tolerant Direct NAT Structure Extraction from Pairwise Causal Interaction Patterns

      • Yang Xiang
      Pages 134-148

    9. The Altruistic Robot: Do What I Want, Not Just What I Say

      • Richard Billingsley, John Billingsley, Peter Gärdenfors, Pavlos Peppas, Henri Prade, David Skillicorn et al.
      Pages 149-162

    10. Expressivity of Possibilistic Preference Networks with Constraints

      • Nahla Ben Amor, Didier Dubois, Héla Gouider, Henri Prade
      Pages 163-177

    11. Assumption-Based Argumentation Equipped with Preferences and Constraints

      • Toshiko Wakaki
      Pages 178-193

    12. Semantic Change and Extension Enforcement in Abstract Argumentation

      • Sylvie Doutre, Jean-Guy Mailly
      Pages 194-207

    13. Measuring Disagreement in Argumentation Graphs

      • Leila Amgoud, Jonathan Ben-Naim
      Pages 208-222

    14. Belief in Attacks in Epistemic Probabilistic Argumentation

      • Sylwia Polberg, Anthony Hunter, Matthias Thimm
      Pages 223-236

    15. A Parametrized Ranking-Based Semantics for Persuasion

      • Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny, Nicolas Maudet
      Pages 237-251
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  1. Scalable Uncertainty Management

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About this book

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.

Editors and Affiliations

  • University of Granada, Granada, Spain

    Serafín Moral, Daniel Sánchez, Nicolás Marín

  • University of Rennes I, Lannion, France

    Olivier Pivert

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