Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/22897
Title: Real-time challenge balance in an RTS game using rtNEAT
Authors: Olesen, Jacob Kaae
Yannakakis, Georgios N.
Hallam, John
Keywords: Video games
Human-computer interaction
Real-time programming
Issue Date: 2008
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Olesen, J. K., Yannakakis, G. N., & Hallam, J. (2008). Real-time challenge balance in an RTS game using rtNEAT. IEEE Symposium On Computational Intelligence and Games, Perth. 87-94.
Abstract: This paper explores using the NEAT and rtNEAT neuro-evolution methodologies to generate intelligent opponents in real-time strategy (RTS) games. The main objective is to adapt the challenge generated by the game opponents to match the skill of a player in real-time, ultimately leading to a higher entertainment value perceived by a human player of the game. Results indicate the effectiveness of NEAT and rtNEAT but demonstrate their limitations for use in real-time strategy games.
URI: https://www.um.edu.mt/library/oar//handle/123456789/22897
Appears in Collections:Scholarly Works - InsDG

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