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|Title:||Real-time challenge balance in an RTS game using rtNEAT|
|Authors:||Olesen, Jacob Kaae|
Yannakakis, Georgios N.
|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.|
|Appears in Collections:||Scholarly Works - InsDG|
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