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== Reference ==
Anna Jordanous: [[Evaluating Evaluation: Assessing Progress in Computational Creativity Research]]. In: [[Computational Creativity 2011 ICCC 2011]], pp. 102-107.

== DOI ==

== Abstract ==
Computational creativity research has produced many
computational systems that are described as creative.
A comprehensive literature survey reveals that although
such systems are labelled as creative, there is a distinct
lack of evaluation of the creativity of creative systems.
As a research community, we should adopt a more sci-
entific approach to evaluation of the creativity of our
systems if we are to progress in understanding creativ-
ity and modelling it computationally. A methodology
for creativity evaluation should accommodate differ-
ent manifestations of creativity but also require a clear,
definitive statement of the standards used for evaluation.
This paper proposes Evaluation Guidelines, a standard
but flexible approach to evaluation of the creativity of
computational systems and argues that this approach
should be taken up as standard practice in computa-
tional creativity research. The approach is outlined and
discussed, then illustrated through a comparative evalu-
ation of the creativity of jazz improvisation systems.

== Extended Abstract ==

== Bibtex ==

== Used References ==
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visation. Chicago Studies in Ethnomusicology. Chicago, IL: The
University of Chicago Press.

Biles, J. A. 2007. Improvising with genetic algorithms: GenJam.
In Miranda, E. R., and Biles, J. A., eds., Evolutionary Computer
Music. London, UK: Springer-Verlag. chapter 7, 137–169.

Colton, S. 2008. Creativity versus the perception of creativity
in computational systems. In Proceedings of AAAI Symposium on
Creative Systems, 14–20.

Dunning, T. 1993. Accurate methods for the statistics of surprise
and coincidence. Computational Linguistics 19(1):61–74.

Gibbs, L. 2010. Evaluating creative (jazz) improvisation: Distin-
guishing invention and creativity. In Gibbs, L., ed., Proceedings of
Leeds International Jazz Conference 2010: Improvisation - jazz in
the creative moment.

Hodgson, P. 2006. Learning and the evolution of melodic com-
plexisty in virtuoso jazz improvisation. In Proceedings of the 28th
Annual Conference of the Cognitive Science Society (CogSci 2006),
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artificial intelligence. Minds and Machines 1–13. Article in Press.

Jordanous, A. 2010a. Defining creativity: Finding keywords
for creativity using corpus linguistics techniques. In Ventura, D.;
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ativity, 278–287.

Jordanous, A. 2010b. A fitness function for creativity in jazz im-
provisation and beyond. In Ventura, D.; Pease, A.; P ́erez y P ́erez,
R.; Ritchie, G.; and Veale, T., eds., Proceedings of the International
Conference on Computational Creativity, 223–227.

Jordanous, A. forthcoming. Evaluating Computational Creativ-
ity: A Standardised Evaluation Methodology and its Application to
Case Studies. Ph.D. Dissertation, University of Sussex, Brighton,
UK.

Le ́on, C., and Gerv ́as, P. 2010. The role of evaluation-driven rejec-
tion in the successful exploration of a conceptual space of stories.
Minds and Machines. Article in Press.

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culture in Voyager. Leonardo Music Journal 33–39.

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and methodologies for automation of the compositional process.
Musicae Scientae 6(2):119–147.

Pease, A.; Winterstein, D.; and Colton, S. 2001. Evaluating
machine creativity. In Proceedings of ICCBR Workshop on Ap-
proaches to Creativity, 129–137.

Peinado, F., and Gervas, P. 2006. Evaluation of automatic genera-
tion of basic stories. New Generation Computing 24(3):289–302.

P ́erez y P ́erez, R. 1999. MEXICA: A Computer Model of Creativity
in Writing. Ph.D. Dissertation, University of Sussex, Brighton, UK.

Plucker, J. A.; Beghetto, R. A.; and Dow, G. T. 2004. Why isn’t
creativity more important to educational psychologists? potentials,
pitfalls, and future directions in creativity research. Educational
Psychologist 39(2):83–96.

Ritchie, G. 2007. Some empirical criteria for attributing creativity
to a computer program. Minds and Machines 17:67–99.

Widmer, G.; Flossmann, S.; and Grachten, M. 2009. YQX plays
Chopin. AI Magazine 30(3):35–48.

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Systems 19(7):449–458.

== Links ==
=== Full Text ===
http://iccc11.cua.uam.mx/proceedings/the_foundational/jordanous_iccc11.pdf

[[intern file]]

=== Sonstige Links ===

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	== Bibtex ==		== Bibtex ==
		+	@inproceedings{
		+	author = {Anna Jordanous},
		+	title = {Evaluating Evaluation: Assessing Progress in Computational Creativity Research},
		+	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 = {102-107},
		+	url = {http://iccc11.cua.uam.mx/proceedings/the_foundational/jordanous_iccc11.pdf, http://de.evo-art.org/index.php?title=Evaluating_Evaluation:_Assessing_Progress_in_Computational_Creativity_Research },
		+	publisher = {International Association for Computational Creativity},
		+	keywords = {computational, creativity},
		+	}

	== Used References ==		== Used References ==

Evaluating Evaluation: Assessing Progress in Computational Creativity Research - Versionsgeschichte

Gubachelier am 13. November 2015 um 22:21 Uhr

Gbachelier: Die Seite wurde neu angelegt: „ == Reference == Anna Jordanous: Evaluating Evaluation: Assessing Progress in Computational Creativity Research. In: Computational Creativity 2011 ICCC …“