Article

A method for online adaptation of computer-game AI rulebase

Authors:

Ruck Thawonmas,

Syota OsakaAuthors Info & Claims

ACE '06: Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology

Pages 16 - es

https://doi.org/10.1145/1178823.1178843

Published: 14 June 2006 Publication History

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Abstract

It is not an easy task to balance the level of computer controlled characters that play computer games against human players. In this paper, we focus on a method called Dynamic Scripting (DS) that has been recently proposed for this task. This method online updates rule weights in rule-base that describe the behavior of the computer controlled character. However, the weight updating mechanism of DS is not effective if improper initialization of the rulebase is done. To cope with this problem, we propose a complementary technique to DS that replaces inefficient rules with newly generated rules. Evaluation of the proposed technique is conducted confirming its effectiveness.

References

[1]

D. M. Bourg and G. Seemann. AI For Game Developers. Oreilly & Associates Inc, 2004.

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[2]

B. Pfeifer. Narrative Combat: Using AI to Enhance Tension in an Action Game. Game Programming Gems 4, pp. 315--324, 2004.

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[3]

P. Spronck. Adaptive Game AI. Ph.D. Thesis, Maastricht University Press, Maastricht, The Netherlands, 2005.

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P. Spronck. Dynamic Scripting. Game AI Programming Wisdom 3. Ed. Steve Rabin, pp. 661--675. Charles River Media, Hingham, MA, 2006.

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Miyazaki K(2024)Enhanced Naive Agent in Angry Birds AI Competition via Exploitation-Oriented LearningJournal of Robotics and Mechatronics10.20965/jrm.2024.p058036:3(580-588)Online publication date: 20-Jun-2024
https://doi.org/10.20965/jrm.2024.p0580
Lam GLogofătu DBădică C(2020)A novel real-time design for fighting game AIEvolving Systems10.1007/s12530-020-09351-4Online publication date: 18-Jul-2020
https://doi.org/10.1007/s12530-020-09351-4
Majchrzak KQuadflieg JRudolph G(2015)Advanced Dynamic Scripting for Fighting Game AIEntertainment Computing - ICEC 201510.1007/978-3-319-24589-8_7(86-99)Online publication date: 1-Dec-2015
https://doi.org/10.1007/978-3-319-24589-8_7
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Index Terms

A method for online adaptation of computer-game AI rulebase
1. Computing methodologies
  1. Machine learning

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Published In

ACE '06: Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology

June 2006

572 pages

ISBN:1595933808

DOI:10.1145/1178823

General Chairs:
Hiroshi Ishii
Tangible Media Group, MIT Media Laboratory
,
Newton Lee
Association for Computing Machinery (ACM), Disney Online, Woodbury University, and Bell Labs
,
Stephane Natkin
CNAM Paris, CEDRIC
,
Katsuhide Tsushima
Osaka Electro-Communication University, Japan

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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Association for Computing Machinery

New York, NY, United States

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Published: 14 June 2006

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ACE2006

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SIGCHI

ACE2006: International Conference in Advances in Computer Entertainment Technology

June 14 - 16, 2006

California, Hollywood, USA

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Overall Acceptance Rate 36 of 90 submissions, 40%

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Miyazaki K(2024)Enhanced Naive Agent in Angry Birds AI Competition via Exploitation-Oriented LearningJournal of Robotics and Mechatronics10.20965/jrm.2024.p058036:3(580-588)Online publication date: 20-Jun-2024
https://doi.org/10.20965/jrm.2024.p0580
Lam GLogofătu DBădică C(2020)A novel real-time design for fighting game AIEvolving Systems10.1007/s12530-020-09351-4Online publication date: 18-Jul-2020
https://doi.org/10.1007/s12530-020-09351-4
Majchrzak KQuadflieg JRudolph G(2015)Advanced Dynamic Scripting for Fighting Game AIEntertainment Computing - ICEC 201510.1007/978-3-319-24589-8_7(86-99)Online publication date: 1-Dec-2015
https://doi.org/10.1007/978-3-319-24589-8_7
Esparcia-Alcazar AMartinez-Garcia AMora AMerelo JGarcia-Sanchez P(2010)Controlling bots in a First Person Shooter game using genetic algorithmsIEEE Congress on Evolutionary Computation10.1109/CEC.2010.5586059(1-8)Online publication date: Jul-2010
https://doi.org/10.1109/CEC.2010.5586059

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Formalizing Game-play

Knowledge acquisition for adaptive game AI

Game design through self-play experiments

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