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Algorithmic Decision Theory

6th International Conference, ADT 2019, Durham, NC, USA, October 25–27, 2019, Proceedings

  • Saša Pekeč
  • Kristen Brent Venable
Conference proceedings ADT 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11834)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11834)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Nawal Benabbou, Cassandre Leroy, Thibaut Lust, Patrice Perny
    Pages 1-16
  3. Grzegorz Gawron, Piotr Faliszewski
    Pages 17-31
  4. Arwa Khannoussi, Alexandru-Liviu Olteanu, Christophe Labreuche, Pritesh Narayan, Catherine Dezan, Jean-Philippe Diguet et al.
    Pages 49-64
  5. Benno Kuckuck, Jörg Rothe, Anke Weißenfeld
    Pages 65-80
  6. Pascal Lange, Jörg Rothe
    Pages 81-96
  7. Roi Naveiro, David Ríos Insua
    Pages 126-140
  8. Ons Nefla, Meltem Öztürk, Paolo Viappiani, Imène Brigui-Chtioui
    Pages 141-157
  9. Back Matter
    Pages 159-181

About these proceedings

Introduction

This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019.  The 10 full papers presented together with 7 short papers were carefully selected from 31 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.

Keywords

artificial intelligence automatic differentiation autonomous agents coalition formations combinatorial optimization decision analysis decision theory differentiation (calculus) game theory Multi-Agent Systems (MAS) numerical methods numerical results service provider social networks stackelberg games traveling salesman problem web services World Wide Web

Editors and affiliations

  • Saša Pekeč
    • 1
  • Kristen Brent Venable
    • 2
  1. 1.Fuqua School of BusinessDuke UniversityDurhamUSA
  2. 2.Florida Institute for Human and Machine Cognition (IHMC)PensacolaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-31489-7
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-31488-0
  • Online ISBN 978-3-030-31489-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site