Game level layout generation using evolved cellular automata

Document Type

Journal Article

Publication Title

Connection Science

Publisher

Taylor & Francis

School

School of Computer and Security Science

RAS ID

21017

Comments

Pech, A., Masek, M., Lam, C. P., & Hingston, P. (2016). Game level layout generation using evolved cellular automata. Connection Science, 28(1), 63-82. Available here

Abstract

ABSTRACT: Design of level layouts typically involves the production of a set of levels which are different, yet display a consistent style based on the purpose of a particular level. In this paper, a new approach to the generation of unique level layouts, based on a target set of attributes, is presented. These attributes, which are learned automatically from an example layout, are used for the off-line evolution of a set of cellular automata rules. These rules can then be used for the real-time generation of level layouts that meet the target parameters. The approach is demonstrated on a set of maze-like level layouts. Results are presented to show the effect of various CA parameters and rule representation. © 2016 Taylor & Francis.

DOI

10.1080/09540091.2015.1130020

Access Rights

free_to_read

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