Title

Search-Based Procedural Content Generation

Abstract

Recently, a small number of papers have appeared in which the authors implement stochastic search algorithms, such as evolutionary computation, to generate game content, such as levels, rules and weapons. We propose a taxonomy of such approaches, centring on what sort of content is generated, how the content is represented, and how the quality of the content is evaluated. The relation between search-based and other types of procedural content generation is described, as are some of the main research challenges in this new field. The paper ends with some successful examples of this approach. © 2010 Springer-Verlag Berlin Heidelberg.

Publication Date

1-1-2010

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

6024 LNCS

Issue

PART 1

Number of Pages

141-150

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-642-12239-2_15

Socpus ID

77952355404 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77952355404

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