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Title: Adaptive game level creation through rank-based interactive evolution
Authors: Liapis, Antonios
Martinez, Hector P.
Togelius, Julian
Yannakakis, Georgios N.
Keywords: Evolutionary computation
Computer games -- Design
Human-computer interaction
User-centered system design
Issue Date: 2013-08
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Liapis, A., Martinez, H. P., Togelius, J., & Yannakakis, G. N. (2013). Adaptive game level creation through rank-based interactive evolution. IEEE Conference on Computational Intelligence and Games (CIG), 2013, Niagara Falls. 1-8.
Abstract: This paper introduces Rank-based Interactive Evolution (RIE) which is an alternative to interactive evolution driven by computational models of user preferences to generate personalized content. In RIE, the computational models are adapted to the preferences of users which, in turn, are used as fitness functions for the optimization of the generated content. The preference models are built via ranking-based preference learning, while the content is generated via evolutionary search. The proposed method is evaluated on the creation of strategy game maps, and its performance is tested using artificial agents. Results suggest that RIE is both faster and more robust than standard interactive evolution and outperforms other state-of-the-art interactive evolution approaches.
Appears in Collections:Scholarly Works - InsDG

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