DocumentCode
2447094
Title
Online evolution in Unreal Tournament 2004
Author
Patrick, Matthew
Author_Institution
Univ. of York, York, UK
fYear
2010
fDate
18-21 Aug. 2010
Firstpage
249
Lastpage
256
Abstract
Traditional approaches to game AI often feature behaviour that is scripted and predictable. Previous attempts at adaptive AI have struggled to get agents to learn quickly enough. This paper aims to show adaptation using online evolution is feasible and that it can can be incorporated with minimal change to the existing AI. A new approach is presented for evolving game agents online using an Evolution Strategy.
Keywords
Internet; artificial intelligence; computer games; evolutionary computation; Unreal Tournament 2004; evolution strategy; feature behaviour; game AI; game agent; online evolution; Analysis of variance; Artificial intelligence; Computer architecture; Conferences; Convergence; Games; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games (CIG), 2010 IEEE Symposium on
Conference_Location
Dublin
Print_ISBN
978-1-4244-6295-7
Electronic_ISBN
978-1-4244-6296-4
Type
conf
DOI
10.1109/ITW.2010.5593348
Filename
5593348
Link To Document