Title

Game level layout generation using evolved cellular automata

Document Type

Journal Article

Publisher

Taylor and Francis Ltd.

School

School of Computer and Security Science

RAS ID

21017

Comments

Originally published as : Pech, Andrew (01.2016). "Game level layout generation using evolved cellular automata". Connection science (0954-0091), 28 (1), p. 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

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