Computational creativity theory: The FACE and IDEA descriptive models

Simon Colton, John Charnley, Alison Pease

Research output: Contribution to conferencePaper

50 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

Fingerprint

Learning systems
Software engineering

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.
Colton, Simon ; Charnley, John ; Pease, Alison. / Computational creativity theory : The FACE and IDEA descriptive models. Paper presented at 2nd International Conference on Computational Creativity, ICCC 2011, Mexico City, Mexico.6 p.
@conference{3694eb21cbde4494901a79c4a68f12b7,
title = "Computational creativity theory: The FACE and IDEA descriptive models",
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.",
author = "Simon Colton and John Charnley and Alison Pease",
year = "2011",
month = "12",
day = "1",
language = "English",
note = "2nd International Conference on Computational Creativity, ICCC 2011 ; Conference date: 27-04-2011 Through 29-04-2011",

}

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, 27/04/11 - 29/04/11, .

Computational creativity theory : The FACE and IDEA descriptive models. / Colton, Simon; Charnley, John; Pease, Alison.

2011. Paper presented at 2nd International Conference on Computational Creativity, ICCC 2011, Mexico City, Mexico.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Computational creativity theory

T2 - The FACE and IDEA descriptive models

AU - Colton, Simon

AU - Charnley, John

AU - Pease, Alison

PY - 2011/12/1

Y1 - 2011/12/1

N2 - 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.

AB - 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.

UR - http://computationalcreativity.net/iccc2011/program.html

UR - http://www.scopus.com/inward/record.url?scp=84866018307&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84866018307

ER -

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