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Modeling Decisions for Artificial Intelligence

20th International Conference, MDAI 2023, Umeå, Sweden, June 19–22, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Vicenç Torra

    1. Umeå University, Umeå, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  2. Yasuo Narukawa

    1. Tamagawa University, Tokyo, Japan

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13890)

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

Included in the following conference series:

Conference proceedings info: MDAI 2023.

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Table of contents (18 papers)

  1. Front Matter

    Pages i-xx
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  2. Plenary Talk

    1. Front Matter

      Pages 1-1
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    2. Logic Aggregators and Their Implementations

      • Jozo Dujmović, Vicenç Torra
      Pages 3-42

  3. Decision Making and Uncertainty

    1. Front Matter

      Pages 43-43
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    2. Multi-target Decision Making Under Conditions of Severe Uncertainty

      • Christoph Jansen, Georg Schollmeyer, Thomas Augustin
      Pages 45-57

    3. Constructive Set Function and Extraction of a k-dimensional Element

      • Ryoji Fukuda, Aoi Honda, Yoshiaki Okazaki
      Pages 58-69

    4. Coherent Upper Conditional Previsions Defined by Fractal Outer Measures to Represent the Unconscious Activity of Human Brain

      • Serena Doria, Bilel Selmi
      Pages 70-82

    5. Discrete Chain-Based Choquet-Like Operators

      • Michał Boczek, Ondrej Hutník, Miriam Kleinová
      Pages 83-95

    6. On a New Generalization of Decomposition Integrals

      • Adam Šeliga
      Pages 96-105

    7. Bipolar OWA Operators with Continuous Input Function

      • Martin Kalina
      Pages 106-117

  4. Machine Learning and Data Science

    1. Front Matter

      Pages 119-119
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    2. Cost-constrained Group Feature Selection Using Information Theory

      • Tomasz Klonecki, Paweł Teisseyre, Jaesung Lee
      Pages 121-132

    3. Conformal Prediction for Accuracy Guarantees in Classification with Reject Option

      • Ulf Johansson, Tuwe Löfström, Cecilia Sönströd, Helena Löfström
      Pages 133-145

    4. Adapting the Gini’s Index for Solving Predictive Tasks

      • Eva Armengol
      Pages 146-156

    5. Bayesian Logistic Model for Positive and Unlabeled Data

      • Małgorzata Łazȩcka
      Pages 157-168

    6. A Goal-Oriented Specification Language for Reinforcement Learning

      • Simon Schwan, Verena Klös, Sabine Glesner
      Pages 169-180

    7. Improved Spectral Norm Regularization for Neural Networks

      • Anton Johansson, Niklas Engsner, Claes Strannegård, Petter Mostad
      Pages 181-201

    8. Preprocessing Matters: Automated Pipeline Selection for Fair Classification

      • Vladimiro González-Zelaya, Julián Salas, Dennis Prangle, Paolo Missier
      Pages 202-213

    9. Predicting Next Whereabouts Using Deep Learning

      • Ana-Paula Galarreta, Hugo Alatrista-Salas, Miguel Nunez-del-Prado
      Pages 214-225

    10. A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size

      • Yuchi Kanzawa
      Pages 226-237
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  1. Modeling Decisions for Artificial Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19–22,2023.
The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search.


The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy.

Editors and Affiliations

  • Umeå University, Umeå, Sweden

    Vicenç Torra

  • Tamagawa University, Tokyo, Japan

    Yasuo Narukawa

Bibliographic Information

  • Book Title: Modeling Decisions for Artificial Intelligence

  • Book Subtitle: 20th International Conference, MDAI 2023, Umeå, Sweden, June 19–22, 2023, Proceedings

  • Editors: Vicenç Torra, Yasuo Narukawa

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-33498-6

  • 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 2023

  • Softcover ISBN: 978-3-031-33497-9Published: 19 May 2023

  • eBook ISBN: 978-3-031-33498-6Published: 18 May 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XX, 265

  • Number of Illustrations: 19 b/w illustrations, 25 illustrations in colour

  • Topics: Artificial Intelligence

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