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Imitation-based evolution of artificial players in modern computer games

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Steffen PriesterjahnAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1429 - 1430

https://doi.org/10.1145/1389095.1389373

Published: 12 July 2008 Publication History

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Abstract

Because of the rapid progress of commercial computer games in recent years the development of artificial characters that inhabit the presented game worlds has become a challenging task with very specific requirements. A very important feature of artificial intelligence for games is that, as the objective of computer games is the entertainment of the player, the artificial game agents should not only be competitive but also show intelligent and human-like behaviours. Therefore, this paper proposes the usage of imitation techniques to generate more human-like behaviours in an action game, whereas the imitation is achieved by recording players and by using these recordings as the basis of an evolutionary learning approach.

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S. M. Lucas and G. Kendall. Evolutionary Computation and Games. IEEE Computational Intelligence Magazine, 1:10--18, 2006.

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R. Miikkulainen, B. D. Bryant, R. Cornelius, I. V. Karpov, K. O. Stanley, and C. H. Yong. Computational Intelligence in Games. Computational Intelligence: Principles and Practice, pages 155--191, 2006.

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S. Priesterjahn. Online Adaptation and Imitation in Modern Computer Games. PhD thesis, University of Paderborn, 2008.

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S. Priesterjahn, O. Kramer, A. Weimer, and A. Goebels. Evolution of Reactive Rules in Multi-Player Computer Games Based on Imitation. In Proceedings of the International Conference on Natural Computation (ICNC'06), volume 2, pages 744--755. Springer, 2005.

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S. Priesterjahn, O. Kramer, A. Weimer, and A. Goebels. Evolution of Human-Competitive Agents in Modern Computer Games. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'06), pages 777--784. IEEE Press, 2006.

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Galli LLoiacono DLanzi P(2009)Learning a context-aware weapon selection policy for unreal tournament IIIProceedings of the 5th international conference on Computational Intelligence and Games10.5555/1719293.1719346(310-316)Online publication date: 7-Sep-2009
https://dl.acm.org/doi/10.5555/1719293.1719346
Galli LLoiacono DLanzi P(2009)Learning a context-aware weapon selection policy for Unreal Tournament III2009 IEEE Symposium on Computational Intelligence and Games10.1109/CIG.2009.5286461(310-316)Online publication date: Sep-2009
https://doi.org/10.1109/CIG.2009.5286461

Index Terms

Imitation-based evolution of artificial players in modern computer games
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Intelligent agents
      2. Multi-agent systems
  2. Machine learning
    1. Learning settings

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Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 12 July 2008

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Galli LLoiacono DLanzi P(2009)Learning a context-aware weapon selection policy for unreal tournament IIIProceedings of the 5th international conference on Computational Intelligence and Games10.5555/1719293.1719346(310-316)Online publication date: 7-Sep-2009
https://dl.acm.org/doi/10.5555/1719293.1719346
Galli LLoiacono DLanzi P(2009)Learning a context-aware weapon selection policy for Unreal Tournament III2009 IEEE Symposium on Computational Intelligence and Games10.1109/CIG.2009.5286461(310-316)Online publication date: Sep-2009
https://doi.org/10.1109/CIG.2009.5286461

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Imitation-based evolution of artificial game players

Real-time imitation-based adaptation of gaming behaviour in modern computer games

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