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Title: An Adjectival Interface for Procedural Content Generation
Author(s): Hultquist, Carl
Gain, James
Cairns, David
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Editor(s): Plemenos, Dimitri
Miaoulis, Georgios
Citation: Hultquist C, Gain J & Cairns D (2009) An Adjectival Interface for Procedural Content Generation. In: Plemenos D & Miaoulis G (eds.) Intelligent Computer Graphics 2009. Studies in Computational Intelligence, Volume 240. Berlin: Springer, pp. 143-165.;
Keywords: Electronic data processing Distributed processing
Computer networks
Issue Date: 2009
Date Deposited: 11-Jun-2018
Series/Report no.: Studies in Computational Intelligence, Volume 240
Abstract: This paper presents a novel interface for generating procedural models, textures, and other content, motivated by the need for interfaces that are simpler to understand and more rapidly utilize. Instead of directly manipulating procedural parameters, users specify adjectives that describe the content to be generated. By making use of a training corpus and semantic information from the WordNet database, our system is able to map from the set of all possible descriptions, adjective space, to the set of all combinations of procedural parameters, parameter space. This is achieved through a modification to radial basis function networks, and the application of particle swarm optimization to search for suitable solutions. By testing with three very different procedural generation systems, we demonstrate the wide applicability of this approach. Our results show that non-technical users not only prefer an adjectival interface to one offering direct control over the procedural parameters, but also produce content that more closely matches a given target.
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
DOI Link: 10.1007/978-3-642-03452-7_8
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