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Advances in Computer Games

15th International Conferences, ACG 2017, Leiden, The Netherlands, July 3–5, 2017, Revised Selected Papers

  • Mark H.M.  Winands
  • H. Jaap van den Herik
  • Walter A. Kosters
Conference proceedings ACG 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10664)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10664)

Table of contents

  1. Front Matter
    Pages I-XX
  2. François Bonnet, Simon Viennot
    Pages 13-25
  3. Cameron Browne
    Pages 26-37
  4. Bruno Bouzy
    Pages 51-62
  5. Matthew Busche, Todd W. Neller
    Pages 63-72
  6. Song Zhang, Hiroyuki Iida, H. Jaap van den Herik
    Pages 73-89
  7. Tristan Cazenave
    Pages 90-100
  8. Noah Weninger, Ryan Hayward
    Pages 101-114
  9. Matej Guid, Ivan Bratko
    Pages 115-126
  10. Jakub Kowalski, Łukasz Żarczyński, Andrzej Kisielewicz
    Pages 127-139
  11. Richard J. Lorentz, Teofilo Erin Zosa IV
    Pages 140-150
  12. Naoki Mizukami, Jun Suzuki, Hirotaka Kameko, Yoshimasa Tsuruoka
    Pages 165-175
  13. Adam Boulton, Rachid Hourizi, David Jefferies, Alice Guy
    Pages 188-200
  14. Enkhbold Nyamsuren, Wim van der Vegt, Wim Westera
    Pages 201-212
  15. Thorsten Ederer, Michael Hartisch, Ulf Lorenz, Thomas Opfer, Jan Wolf
    Pages 224-233
  16. Back Matter
    Pages 235-235

About these proceedings

Introduction

This book constitutes the refereed conference proceedings of the 15th International Conference, ACG 2017, held in Leiden, The Netherlands, in July 2017.The 19 revised full papers were selected from 23 submissions and cover a wide range of computer games. They are grouped in four classes according to the order of publication: games and puzzles, go and chess, machine learning and MCTS, and gaming.

Keywords

artificial intelligence combinatorial game complexity distributed computing evaluation function game tree search general game playing heuristic function constructions inductive logic programming Markov decision progress mchine learning optimization parallel search planning and scheduling random walk realtime reinforcement learning search methodologies supervised learning

Editors and affiliations

  • Mark H.M.  Winands
    • 1
  • H. Jaap van den Herik
    • 2
  • Walter A. Kosters
    • 3
  1. 1.Department of Data Science and Knowledge EngineeringMaastricht UniversityMaastrichtThe Netherlands
  2. 2.Leiden Centre of Data ScienceLeiden UniversityLeidenThe Netherlands
  3. 3.Leiden Institute of Advanced Computer ScienceLeiden UniversityLeidenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71649-7
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-71648-0
  • Online ISBN 978-3-319-71649-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site