Rapid adaptation of video game AI

Sander Bakkes; Pieter Spronck; Jaap Van Den Herik

doi:10.1109/CIG.2008.5035624

Rapid adaptation of video game AI

Sander Bakkes, Pieter Spronck^*, Jaap Van Den Herik

^*Corresponding author for this work

Tilburg University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Current approaches to adaptive game AI require either a high quality of utilised domain knowledge, or a large number of adaptation trials. These requirements hamper the goal of rapidly adapting game AI to changing circumstances. In an alternative, novel approach, domain knowledge is gathered automatically by the game AI, and is immediately (i.e., without trials and without resource-intensive learning) utilised to evoke effective behaviour. In this paper we discuss this approach, called 'rapidly adaptive game AI'.We perform experiments that apply the approach in an actual video game. From our results we may conclude that rapidly adaptive game AI provides a strong basis for effectively adapting game AI in actual video games.

Original language	English
Title of host publication	2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008
Pages	79-86
Number of pages	8
DOIs	https://doi.org/10.1109/CIG.2008.5035624
Publication status	Published - 2008
Event	2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008 - Perth, WA, Australia Duration: 15 Dec 2008 → 18 Dec 2008

Publication series

Name	2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008

Conference

Conference	2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008
Country/Territory	Australia
City	Perth, WA
Period	15/12/08 → 18/12/08

Bibliographical note

Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.

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10.1109/CIG.2008.5035624

Cite this

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title = "Rapid adaptation of video game AI",

abstract = "Current approaches to adaptive game AI require either a high quality of utilised domain knowledge, or a large number of adaptation trials. These requirements hamper the goal of rapidly adapting game AI to changing circumstances. In an alternative, novel approach, domain knowledge is gathered automatically by the game AI, and is immediately (i.e., without trials and without resource-intensive learning) utilised to evoke effective behaviour. In this paper we discuss this approach, called 'rapidly adaptive game AI'.We perform experiments that apply the approach in an actual video game. From our results we may conclude that rapidly adaptive game AI provides a strong basis for effectively adapting game AI in actual video games.",

author = "Sander Bakkes and Pieter Spronck and \{Van Den Herik\}, Jaap",

year = "2008",

doi = "10.1109/CIG.2008.5035624",

language = "English",

isbn = "9781424429745",

series = "2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008",

pages = "79--86",

booktitle = "2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008",

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Bakkes, S, Spronck, P & Van Den Herik, J 2008, Rapid adaptation of video game AI. in 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008., 5035624, 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008, pp. 79-86, 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008, Perth, WA, Australia, 15/12/08. https://doi.org/10.1109/CIG.2008.5035624

Rapid adaptation of video game AI. / Bakkes, Sander; Spronck, Pieter; Van Den Herik, Jaap.
2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008. 2008. p. 79-86 5035624 (2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Rapid adaptation of video game AI

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