TEAM: The Team-Oriented Evolutionary Adaptability Mechanism Export

@incollection{citeulike:4870915, abstract = {Many commercial computer games allow a team of players to match their skills against another team, controlled by humans or by the computer. Most players prefer human opponents, since the artificial intelligence of a computer-controlled team is in general inferior. An adaptive mechanism for team-oriented artificial intelligence would allow computer-controlled opponents to adapt to human player behaviour, thereby providing a means of dealing with weaknesses in the game AI. Current commercial computer games lack challenging adaptive mechanisms. This paper proposes ” TEAM”, a novel team-oriented adaptive mechanism which is inspired by evolutionary algorithms. The performance of TEAM is evaluated in an experiment involving an actual commercial computer game (the Capture The Flag team-based game mode of the popular commercial computer game Quake III). The experimental results indicate that TEAM succeeds in endowing computer-controlled opponents with successful adaptive performance. We therefore conclude that TEAM can be successfully applied to generate challenging adaptive opponent behaviour in team-oriented commercial computer games.}, author = {Bakkes, Sander and Spronck, Pieter and Postma, Eric}, citeulike-article-id = {4870915}, citeulike-linkout-0 = {http://www.springerlink.com/content/hdru7u9pa7q3kg9b}, journal = {Entertainment Computing – ICEC 2004}, pages = {273--282}, posted-at = {2009-06-16 14:29:48}, priority = {2}, title = {TEAM: The Team-Oriented Evolutionary Adaptability Mechanism}, url = {http://www.springerlink.com/content/hdru7u9pa7q3kg9b}, year = {2004} }

TY - CHAP ID - citeulike:4870915 L3 - citeulike-article-id:4870915 N2 - Many commercial computer games allow a team of players to match their skills against another team, controlled by humans or by the computer. Most players prefer human opponents, since the artificial intelligence of a computer-controlled team is in general inferior. An adaptive mechanism for team-oriented artificial intelligence would allow computer-controlled opponents to adapt to human player behaviour, thereby providing a means of dealing with weaknesses in the game AI. Current commercial computer games lack challenging adaptive mechanisms. This paper proposes “TEAM”, a novel team-oriented adaptive mechanism which is inspired by evolutionary algorithms. The performance of TEAM is evaluated in an experiment involving an actual commercial computer game (the Capture The Flag team-based game mode of the popular commercial computer game Quake III). The experimental results indicate that TEAM succeeds in endowing computer-controlled opponents with successful adaptive performance. We therefore conclude that TEAM can be successfully applied to generate challenging adaptive opponent behaviour in team-oriented commercial computer games. JF - Entertainment Computing – ICEC 2004 EP - 282 TI - TEAM: The Team-Oriented Evolutionary Adaptability Mechanism SP - 273 AU - Bakkes, Sander AU - Spronck, Pieter AU - Postma, Eric PY - 2004/// UR - http://www.springerlink.com/content/hdru7u9pa7q3kg9b ER -