Title
Rapid and Reliable Adaptation of Video Game AI
Abstract
Abstract—Current,approaches,to adaptive,game,AI typically require numerous trials to learn effective behaviour (i.e., game adaptation is not rapid). In addition, game developers are concerned,that applying,adaptive,game,AI may,result in un- controllable and unpredictable behaviour (i.e., game adaptation is not reliable). These characteristics hamper,the incorporation,of adaptive,game,AI in commercially,available video games. In this article, we discuss an alternative to these current approaches. Our alternative approach,to adaptive game,AI has as its goal adapting rapidly and,reliably to game,circumstances. Our approach,can be classified in the area,of case-based adaptive,game,AI. In the approach, domain knowledge required to adapt to game circumstances is gathered automatically by the game AI, and is exploited immediately (i.e., without trials and without resource- intensive learning) to evoke,effective behaviour,in a controlled manner,in online play. We performed,experiments,that test case- based adaptive game,AI on three different maps,in a commercial RTS game. From our,results we may,conclude,that case-based adaptive game,AI provides a strong basis for effectively adapting game,AI in video games. Index Terms—Game AI, adaptive behaviour, rapid adaptation,
Year
DOI
Venue
2009
10.1109/TCIAIG.2009.2029084
Computational Intelligence and AI in Games, IEEE Transactions
Keywords
Field
DocType
artificial intelligence,computer games,AI,adaptive game,artificial intelligence,real-time strategy,video game,Adaptive behavior,game AI,rapid adaptation,real-time strategy (RTS) games,reliable adaptation
Real-time strategy,Game mechanics,Computer science,Game design,Artificial intelligence,Adaptive control,Game Developer,Game testing,Sequential game,Adaptive behavior
Journal
Volume
Issue
ISSN
1
2
1943-068X
Citations 
PageRank 
References 
27
1.20
14
Authors
3
Name
Order
Citations
PageRank
Sander Bakkes1271.20
Pieter Spronck2271.20
H. Jaap van den Herik3271.20