License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DFU.Vol6.12191.33
URN: urn:nbn:de:0030-drops-43348
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4334/
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Muñoz-Avila, Hector ; Bauckhage, Christian ; Bida, Michal ; Congdon, Clare Bates ; Kendall, Graham

Learning and Game AI

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Abstract

The incorporation of learning into commercial games can enrich the player experience, but may concern developers in terms of issues such as losing control of their game world. We explore a number of applied research and some fielded applications that point to the tremendous possibilities of machine learning research including game genres such as real-time strategy games, flight simulation games, car and motorcycle racing games, board games such as Go, an even traditional
game-theoretic problems such as the prisoners dilemma. A common trait of these works is the potential of machine learning to reduce the burden of game developers. However a number of challenges exists that hinder the use of machine learning more broadly. We discuss some of these challenges while at the same time exploring opportunities for a wide use of machine learning in games.

BibTeX - Entry

@InCollection{muozavila_et_al:DFU:2013:4334,
  author =	{Hector Mu{\~n}oz-Avila and Christian Bauckhage and Michal Bida and Clare Bates Congdon and Graham Kendall},
  title =	{{Learning and Game AI}},
  booktitle =	{Artificial and Computational Intelligence in Games},
  pages =	{33--43},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-62-0},
  ISSN =	{1868-8977},
  year =	{2013},
  volume =	{6},
  editor =	{Simon M. Lucas and Michael Mateas and Mike Preuss and Pieter Spronck and Julian Togelius},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2013/4334},
  URN =		{urn:nbn:de:0030-drops-43348},
  doi =		{10.4230/DFU.Vol6.12191.33},
  annote =	{Keywords: Games, machine learning, artificial intelligence, computational intelligence}
}

Keywords: Games, machine learning, artificial intelligence, computational intelligence
Collection: Artificial and Computational Intelligence in Games
Issue Date: 2013
Date of publication: 18.11.2013

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