Computational creativity theory: The FACE and IDEA descriptive models

Simon Colton, John Charnley, Alison Pease

Research output: Contribution to conferencePaper

86 Citations (Scopus)

Abstract

We introduce computational creativity theory (CCT) as an analogue in computational creativity research to computational learning theory in machine learning. In its current draft, CCT comprises the FACE descriptive model of creative acts as tuples of generative acts, and the IDEA descriptive model of the impact such creative acts may have. To introduce these, we simplify various assumptions about software development, background material given to software, how creative acts are performed by computer, and how audiences consume the results. We use the two descriptive models to perform two comparisons studies, firstly for mathematical discovery software, and secondly for visual art generating programs. We conclude by discussing possible additions, improvements and refinements to CCT.

Original languageEnglish
Number of pages6
Publication statusPublished - 1 Dec 2011
Event2nd International Conference on Computational Creativity, ICCC 2011 - Mexico City, Mexico
Duration: 27 Apr 201129 Apr 2011

Conference

Conference2nd International Conference on Computational Creativity, ICCC 2011
CountryMexico
CityMexico City
Period27/04/1129/04/11

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  • Cite this

    Colton, S., Charnley, J., & Pease, A. (2011). Computational creativity theory: The FACE and IDEA descriptive models. Paper presented at 2nd International Conference on Computational Creativity, ICCC 2011, Mexico City, Mexico.