AAAI Publications, Seventh Artificial Intelligence and Interactive Digital Entertainment Conference

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Optimizing Visual Properties of Game Content Through Neuroevolution
Antonios Liapis, Georgios N. Yannakakis, Julian Togelius

Last modified: 2011-10-09


This paper presents a search-based approach to generating game content that satisfies both gameplay requirements and user-expressed aesthetic criteria. Using evolutionary constraint satisfaction, we search for spaceships (for a space combat game) represented as compositional pattern-producing networks. While the gameplay requirements are satisfied by ad-hoc defined constraints, the aesthetic evaluation function can also be informed by human aesthetic judgement. This is achieved using indirect interactive evolution, where an evaluation function re-weights an array of aesthetic criteria based on the choices of a human player. Early results show that we can create aesthetically diverse and interesting spaceships while retaining in-game functionality.


Experience-Driven Procedural Content Generation; Computational Aesthetics in Games; Interactive Evolutionary Content; Constrained Neuroevolution;

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