TitleOpponent modeling and spatial similarity to retrieve and reuse superior plays
Publication TypeConference Paper
Year of Publication2009
AuthorsLaviers, K, Sukthankar, G, Klenk, M, Aha, DW, Molineaux, M
Conference NameICCBR Workshop on Case-Based Reasoning for Computer Games
PublisherUniversity of Washington
Conference LocationSeattle, WA
Keywordscase-based reasoning, game AI, Opponent modeling
Abstract

Plays are sequences of actions to be undertaken by a collection of agents, or teammates. The success of a play depends on a number of factors including, perhaps most importantly, the opponent's play. In this paper, we present an approach for online opponent modeling and illustrate how it can be used to improve o

Refereed DesignationRefereed
Full Text
pdf: 
http://www.nrl.navy.mil/itd/aic/sites/www.nrl.navy.mil.itd.aic/files/pdfs/laviers-et-al-iccbr2009-final.pdf
NRL Publication Release Number: 
09-1226-1708
pub_tags: 
opponent modeling
case-based reasoning
game AI
key_pub_tags: