© 2015

Algorithmic Decision Theory

4th International Conference, ADT 2015, Lexington, KY, USA, September 27–30, 2015, Proceedings

  • Toby Walsh
  • Up-to-date results

Conference proceedings ADT 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9346)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9346)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Preferences

    1. Front Matter
      Pages 1-1
    2. Thomas E. Allen, Muye Chen, Judy Goldsmith, Nicholas Mattei, Anna Popova, Michel Regenwetter et al.
      Pages 3-18
    3. Xudong Liu, Miroslaw Truszczynski
      Pages 19-34
    4. Erman Acar, Camilo Thorne, Heiner Stuckenschmidt
      Pages 52-68
  3. Manipulation

    1. Front Matter
      Pages 69-69
    2. Gábor Erdélyi, Martin Lackner, Andreas Pfandler
      Pages 71-85
    3. Ying Zhu, Miroslaw Truszczynski
      Pages 86-102
    4. Zack Fitzsimmons, Edith Hemaspaandra
      Pages 103-119
  4. Learning and Other Issues

    1. Front Matter
      Pages 121-121
    2. Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng
      Pages 139-152
    3. Olivier Sobrie, Vincent Mousseau, Marc Pirlot
      Pages 153-170
    4. Daniel S. Brown, Steven Loscalzo, Nathaniel Gemelli
      Pages 171-186
  5. Utility and Decision Theory

    1. Front Matter
      Pages 187-187
    2. François Durand, Benoît Kloeckner, Fabien Mathieu, Ludovic Noirie
      Pages 189-204
    3. Tom Everitt, Jan Leike, Marcus Hutter
      Pages 205-221
    4. Laurent Gourvès
      Pages 236-252

About these proceedings


This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, held in September 2015 in Lexington, USA. The 32 full papers presented were carefully selected from 76 submissions. The papers are organized in topical sections such as preferences; manipulation, learning and other issues; utility and decision theory; argumentation; bribery and control; social choice; allocation and other problems; doctoral consortium.


algorithmic game theory preference elicitation argumentation computational complexity social choice utilities allocation bribery control decision theory human subjects experiments manipulation multi-agent systems multiobjective optimization planning under uncertainty preference learning preference modeling preferences stochastic physical search voting

Editors and affiliations

  • Toby Walsh
    • 1
  1. 1.University of New South WalesKensingtonAustralia

Bibliographic information

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