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Online adaptive agent for connect four

 
: Missura, O.; Gärtner, T.

:
Volltext urn:nbn:de:0011-n-909480 (184 KByte PDF)
MD5 Fingerprint: 8583e08826ad84332bd102f04fa49e01
Erstellt am: 19.3.2009


Zhou, M. ; Beijing Normal University:
Proceedings of the 4th International Conference on Games Research and Development 2008, CyberGames 2008 : Beijing, China, 27.-30. October 2008
Beijing: Tsinghua University Press, 2008
ISBN: 978-7-302-18779-0
8 S.
International Conference on Games Research and Development (CypberGames) <4, 2008, Beijing>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

Abstract
One of the challenges that a computer game developer meets when creating a new game is setting the difficulty ``right''. Not only it is a complicated task to balance all the game parameters, but the developer also needs to cater for players with very different skill levels. Providing a game with an ability to automatically scale the difficulty depending on the current player would make the games more engaging over longer time. In this paper we propose a simple approach based on ranking of available strategies and show that it leads to a surprisingly good online adaptive agent. We evaluate the performance of the developed agent in the games against algorithmic as well as human opponents.

: http://publica.fraunhofer.de/dokumente/N-90948.html