Optimizing Visual Properties of Game Content Through Neuroevolution


  • Antonios Liapis IT University of Copenhagen
  • Georgios Yannakakis IT University of Copenhagen
  • Julian Togelius IT University of Copenhagen




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


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.




How to Cite

Liapis, A., Yannakakis, G., & Togelius, J. (2011). Optimizing Visual Properties of Game Content Through Neuroevolution. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 7(1), 152-157. https://doi.org/10.1609/aiide.v7i1.12444