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Algorithmic Decision Theory

7th International Conference, ADT 2021, Toulouse, France, November 3–5, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Dimitris Fotakis

    1. National Technical University of Athens, Athens, Greece

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    You can also search for this editor in PubMed   Google Scholar

  2. David Ríos Insua

    1. Consejo Superior de Investigaciones Cientificas, Madrid, Spain

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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 13023)

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

Included in the following conference series:

Conference proceedings info: ADT 2021.

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Table of contents (27 papers)

  1. Front Matter

    Pages i-xix
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  2. Computational Social Choice and Preference Modelling

    1. Front Matter

      Pages 1-1
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    2. Aggregating Preferences Represented by Conditional Preference Networks

      • Abu Mohammad Hammad Ali, Howard J. Hamilton, Elizabeth Rayner, Boting Yang, Sandra Zilles
      Pages 3-18

    3. Measuring Nearly Single-Peakedness of an Electorate: Some New Insights

      • Bruno Escoffier, Olivier Spanjaard, Magdaléna Tydrichová
      Pages 19-34

    4. Preference Aggregation in the Generalised Unavailable Candidate Model

      • Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani
      Pages 35-50

    5. Simultaneous Elicitation of Scoring Rule and Agent Preferences for Robust Winner Determination

      • Beatrice Napolitano, Olivier Cailloux, Paolo Viappiani
      Pages 51-67

  3. Preference Elicitation

    1. Front Matter

      Pages 69-69
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    2. Incremental Elicitation of Preferences: Optimist or Pessimist?

      • Loïc Adam, Sébastien Destercke
      Pages 71-85

    3. Probabilistic Lexicographic Preference Trees

      • Xudong Liu, Miroslaw Truszczynski
      Pages 86-100

    4. Incremental Preference Elicitation with Bipolar Choquet Integrals

      • Hugo Martin, Patrice Perny
      Pages 101-116

  4. Preference Aggregation and Voting

    1. Front Matter

      Pages 117-117
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    2. In the Beginning There Were n Agents: Founding and Amending a Constitution

      • Ben Abramowitz, Ehud Shapiro, Nimrod Talmon
      Pages 119-131

    3. Unveiling the Truth in Liquid Democracy with Misinformed Voters

      • Ruben Becker, Gianlorenzo D’Angelo, Esmaeil Delfaraz, Hugo Gilbert
      Pages 132-146

    4. Computing Kemeny Rankings from d-Euclidean Preferences

      • Thekla Hamm, Martin Lackner, Anna Rapberger
      Pages 147-161

    5. Iterative Deliberation via Metric Aggregation

      • Gil Ben Zvi, Eyal Leizerovich, Nimrod Talmon
      Pages 162-176

  5. Manipulation in Voting

    1. Front Matter

      Pages 177-177
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    2. Obvious Manipulability of Voting Rules

      • Haris Aziz, Alexander Lam
      Pages 179-193

    3. Manipulation in Communication Structures of Graph-Restricted Weighted Voting Games

      • Joanna Kaczmarek, Jörg Rothe
      Pages 194-208

    4. Strategic Voting in Negotiating Teams

      • Leora Schmerler, Noam Hazon
      Pages 209-223

    5. The Nonmanipulative Vote-Deficits of Voting Rules

      • Yongjie Yang
      Pages 224-240
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About this book

This book constitutes the conference proceedings of the 7th International Conference on Algorithmic Decision Theory, ADT 2021, held in Toulouse, France, in November 2021.  The 27 full papers presented were carefully selected from 58 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.

Editors and Affiliations

  • National Technical University of Athens, Athens, Greece

    Dimitris Fotakis

  • Consejo Superior de Investigaciones Cientificas, Madrid, Spain

    David Ríos Insua

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