Title

Search-Based Procedural Content Generation: A Taxonomy and Survey

Authors

Authors

J. Togelius; G. N. Yannakakis; K. O. Stanley;C. Browne

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Trans. Comput. Intell. AI Games

Keywords

Computer graphics; design automation; evolutionary computation; genetic; algorithms; EVOLUTIONARY COMPUTATION; GAMES; NETWORKS; Computer Science, Artificial Intelligence; Computer Science, Software; Engineering

Abstract

The focus of this survey is on research in applying evolutionary and other metaheuristic search algorithms to automatically generating content for games, both digital and nondigital (such as board games). The term search-based procedural content generation is proposed as the name for this emerging field, which at present is growing quickly. A taxonomy for procedural content generation is devised, centering on what kind of content is generated, how the content is represented and how the quality/fitness of the content is evaluated; search-based procedural content generation in particular is situated within this taxonomy. This article also contains a survey of all published papers known to the authors in which game content is generated through search or optimisation, and ends with an overview of important open research problems.

Journal Title

Ieee Transactions on Computational Intelligence and Ai in Games

Volume

3

Issue/Number

3

Publication Date

1-1-2011

Document Type

Article

Language

English

First Page

172

Last Page

186

WOS Identifier

WOS:000295473700002

ISSN

1943-068X

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