An Empirical Exploration of a Definition of Creative Novelty for Generative Art
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.
Unable to display preview. Download preview PDF.
- 1.Dawkins, R.: The Blind Watchmaker. Longman Scientific & Technical (1986)Google Scholar
- 2.Dorin, A., Korb, K.: Improbable creativity. In: McCormack, J., Boden, M., d’Inverno, M. (eds.) Proceedings of the Dagstuhl International Seminar on Computational Creativity. Springer, Heidelberg (2009)Google Scholar
- 4.Howarth, P., Rüger, S.: Evaluation of texture features for content-based image retrieval. In: Enser, P.G.B., et al. (eds.) CIVR 2004. LNCS, vol. 3115, pp. 326–334. Springer, Heidelberg (2004)Google Scholar
- 5.Kowaliw, T., Banzhaf, W., Kharma, N., Harding, S.: Evolving novel image features using genetic programming-based image transforms. In: IEEE CEC 2009 (2009)Google Scholar
- 6.Machado, P., Romero, J., Manaris, B.: Experiments in computational aesthetics: An iterative approach to stylistic change in evolutionary art. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, pp. 381–415 (2008)Google Scholar
- 7.McCormack, J.: Facing the future: Evolutionary possibilities for human-machine creativity. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, pp. 417–453 (2008)Google Scholar