Computational Creativity Theory: The FACE and IDEA Descriptive Models

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Simon Colton, John Charnley, and Alison Pease: Computational Creativity Theory: The FACE and IDEA Descriptive Models. In: Computational Creativity 2011 ICCC 2011, pp. 90-95.



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 per- formed by computer, and how audiences consume the results. We use the two descriptive models to perform two comparisons studies, firstly for mathematical dis- covery software, and secondly for visual art generating programs. We conclude by discussing possible addi- tions, improvements and refinements to CCT.

Extended Abstract


author = {Simon Colton, John Charnley, and Alison Pease},
title = {Computational Creativity Theory: The FACE and IDEA Descriptive Models},
editor = {Dan Ventura, Pablo Gervás, D. Fox Harrell, Mary Lou Maher, Alison Pease and Geraint Wiggins},
booktitle = {Proceedings of the Second International Conference on Computational Creativity},
series = {ICCC2011},
year = {2011},
month = {April},
location = {México City, México},
pages = {90-95},
url = {, },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},

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