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Scalable Uncertainty Management

16th International Conference, SUM 2024 Palermo, Italy, November 27–29, 2024 Proceedings

  • Conference proceedings
  • Nov 2024
  • Latest edition

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15350)

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

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About this book

This book constitutes the refereed proceedings of the 16th International Conference on Scalable Uncertainty Management, SUM 2024, held in Palermo, Italy, during November 27–29, 2024.

The 28 full and 7 short papers presented in this volume were carefully reviewed and selected from 43 submissions. SUM 2024 solicited three types of paper submissions: Long papers reporting on original research or providing surveys that synthesize current research trends, short papers describing promising work in progress, systems, or positions on
controversial issues, and extended abstracts.

Keywords

  • artificial intelligence
  • uncertainty reasoning
  • logic
  • databases
  • machine learning
  • information retrieval
  • data mining
  • semantic web
  • risk analysis
  • conditionals
  • inconsistency
  • elicitation
  • incomplete knowledge
  • argumentation

Editors and Affiliations

  • Université de Technologie de Compiègne, Compiègne, France

    Sébastien Destercke

  • Artificial Intelligence Research Institute, Barcelona, Spain

    Maria Vanina Martinez

  • University of Palermo, Palermo, Italy

    Giuseppe Sanfilippo

Bibliographic Information

  • Book Title: Scalable Uncertainty Management

  • Book Subtitle: 16th International Conference, SUM 2024 Palermo, Italy, November 27–29, 2024 Proceedings

  • Editors: Sébastien Destercke, Maria Vanina Martinez, Giuseppe Sanfilippo

  • Series Title: Lecture Notes in Computer Science

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-76234-5Due: 10 December 2024

  • eBook ISBN: 978-3-031-76235-2Due: 10 December 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 442

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