Search-based Procedural Content Generation: A Taxonomy and Survey

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Togelius:2011:TCIAIG,

• author = "Julian Togelius and Georgios N. Yannakakis and Kenneth O. Stanley and Cameron Browne",
• title = "Search-based Procedural Content Generation: A Taxonomy and Survey",
• journal = "IEEE Transactions on Computational Intelligence and AI in Games",
• year = "2011",
• volume = "3",
• number = "3",
• pages = "172--186",
• month = sep,
• keywords = "genetic algorithms, genetic programming, Algorithm design and analysis, Buildings, Encoding, Evolutionary computation, Games, Optimisation, Weapons, computer graphics, search problems, evolutionary algorithm, metaheuristic search algorithm, search-based procedural content generation, Computer graphics, design automation",
• ISSN = "1943-068X",
• URL = "http://julian.togelius.com/Togelius2011Searchbased.pdf",
• DOI = "doi:10.1109/TCIAIG.2011.2148116",
• size = "15 pages",
• 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, centring 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.",

}

Genetic Programming entries for Julian Togelius Georgios N Yannakakis Kenneth O Stanley Cameron Browne

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