Abstract
This paper introduces a new approach to the procedural generation of maze-like game level layouts by evolving CA. The approach uses a GA to evolve CA rules which, when applied to a maze configuration, produce level layouts with desired maze-like properties. The advantages of this technique is that once a CA rule set has been evolved, it can quickly generate varying instances of maze-like level layouts with similar properties in real time.
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CITATION STYLE
Pech, A., Hingston, P., Masek, M., & Lam, C. P. (2015). Evolving cellular automata for maze generation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8955, pp. 112–124). Springer Verlag. https://doi.org/10.1007/978-3-319-14803-8_9
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