An empirical exploration of a definition of creative novelty for generative art
Inhaltsverzeichnis
Reference
Kowaliw, T., Dorin, A., McCormack, J.: An empirical exploration of a definition of creative novelty for generative art. In: Korb, K., Randall, M., Hendtlass, T. (eds.) ACAL 2009. LNCS, vol. 5865, pp. 1–10. Springer, Heidelberg (2009).
DOI
http://link.springer.com/chapter/10.1007%2F978-3-642-10427-5_1
Abstract
We explore a new definition of creativity — one which emphasizes the statistical capacity of a system to generate previously unseen patterns — and discuss motivations for this perspective in the context of machine learning. We show the definition to be computationally tractable, and apply it to the domain of generative art, utilizing a collection of features drawn from image processing. We next utilize our model of creativity in an interactive evolutionary art task, that of generating biomorphs. An individual biomorph is considered a potentially creative system by considering its capacity to generate novel children. We consider the creativity of biomorphs discovered via interactive evolution, via our creativity measure, and as a control, via totally random generation. It is shown that both the former methods find individuals deemed creative by our measure; Further, we argue that several of the discovered “creative” individuals are novel in a human-understandable way. We conclude that our creativity measure has the capacity to aid in user-guided evolutionary tasks.
Extended Abstract
Bibtex
Used References
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