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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2921

Title: Modern Trends in the Automatic Generation of Content for Video Games
Authors: Bontchev, Boyan
Keywords: Video Games
Content Generation
Descriptive
Personalization
Semantics
Issue Date: 2016
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 10, No 2, (2016), 133p-166p
Abstract: Attractive and realistic content has always played a crucial role in the penetration and popularity of digital games, virtual environments, and other multimedia applications. Procedural content generation enables the automatization of production of any type of game content including not only landscapes and narratives but also game mechanics and generation of whole games. The article offers a comparative analysis of the approaches to automatic generation of content for video games proposed in last five years. It suggests a new typology of the use of procedurally generated game content comprising of categories structured in three groups: content nature, generation process, and game dependence. Together with two other taxonomies – one of content type and the other of methods for content generation – this typology is used for comparing and discussing some specific approaches to procedural content generation in three promising research directions based on applying personalization and adaptation, descriptive languages, and semantic specifications.
URI: http://hdl.handle.net/10525/2921
ISSN: 1312-6555
Appears in Collections:Volume 10 Number 2

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