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International Studies in Phenomenology and Philosophy

Book | Chapter

184238

Evolving cellular automata for maze generation

Andrew Pech Philip Hingston Martin Masek Chiou Peng Lam

pp. 112-124

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.

Publication details

Published in:

Randall Marcus (2015) Artificial life and computational intelligence: first Australasian conference, acalci 2015, Newcastle, nsw, India, february 5-7, 2015. proceedings. Dordrecht, Springer.

Pages: 112-124

DOI: 10.1007/978-3-319-14803-8_9

Full citation:

Pech Andrew, Hingston Philip, Masek Martin, Peng Lam Chiou (2015) „Evolving cellular automata for maze generation“, In: M. Randall (ed.), Artificial life and computational intelligence, Dordrecht, Springer, 112–124.