Role of Simplicity in Creative Behaviour: The Case of the Poietic Generator
Inhaltsverzeichnis
Reference
Antoine Saillenfest, Jean-Louis Dessalles and Olivier Auber: Role of Simplicity in Creative Behaviour: The Case of the Poietic Generator. In: Computational Creativity 2016 ICCC 2016, 33-40
DOI
Abstract
We propose to apply Simplicity Theory (ST) to model interest in creative situations. ST has been designed to describe and predict interest in communication. Here we use ST to derive a decision rule that we apply to a simplified version of a creative game, the Poietic Generator. The decision rule produces what can be regarded as an elementary form of creativity. This study is meant as a proof of principle. It suggests that some creative actions may be motivated by the search for unexpected simplicity.
Extended Abstract
Bibtex
@inproceedings{
author = {Antoine Saillenfest, Jean-Louis Dessalles and Olivier Auber},
title = {Role of Simplicity in Creative Behaviour: The Case of the Poietic Generator},
booktitle = {Proceedings of the Seventh International Conference on Computational Creativity},
series = {ICCC2016},
year = {2016},
month = {Jun-July},
location = {Paris, France},
pages = {33-40},
url = {http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Role-of-Simplicity-in-Creative-Behaviour.pdf http://de.evo-art.org/index.php?title=Role_of_Simplicity_in_Creative_Behaviour:_The_Case_of_the_Poietic_Generator },
publisher = {Sony CSL Paris},
}
Used References
Auber O. (2016). Refounding legitimacy toward aethogenesis. Proceedings of 18th International Research Conference in The Planetary Collegium’s Series “Art & consciousness in the postbiological era”. Technoetic Arts Journal, Intellect (in press).
Auriol, J.-B. (1999). Modélisation du sujet humain en situation de résolution de problème, basée sur le couplage d'un formalisme logique et d'un formalisme d'opérateur. Paris: Thèse de doctorat – ENST 99-E-049.
Bonnardel, N. (2006). Créativité et conception - Approches cognitives et ergonomiques. Marseille: Solal.
Buhrman, H., Fortnow, L. & Laplante, S. (2002). Resource bounded Kolmogorov complexity revisited. SIAM Journal on Computing, 31 (3), 887-905.
Dessalles, J.-L. (2006). A structural model of intuitive probability. In D. Fum, F. Del Missier & A. Stocco (Eds.), Proceedings of the seventh International Conference on Cog nitive Modeling, 86-91. Trieste, IT: Edizioni Goliardiche.
Dessalles, J.-L. (2008). La pertinence et ses origines cognitives - Nouvelles théories. Paris: Hermes Science.
Leyton, M. (2006). The structure of paintings. New York: Springer Verlag.
Li, M. & Vitányi, P. (1993). An introduction to Kolmogorov complexity and its applications (3rd ed.). New York: Springer Verlag, ed. 1997.
Maher, M. L. (2010). Evaluating creativity in humans, computers, and collectively intelligent systems. I n T. Taura & Y. N agai (Eds.), Design creativity, 41-47. London: Springer.
Saillenfest, A. & Dessalles, J.-L. (2014). Can Believable Characters Act Unexpectedly? Literary & Linguistic Computing, 29 (4), 606-620.
Saillenfest, A. (2015). Modélisation Cognitive de la Pertinence Narrative en vue de l'Évaluation et de la Génération de Récits. Paris: Thèse de doctorat -2015-ENST-0073, ed. 2015.
Schmidhuber, J. (1997a). Low complexity art. Journal of the International Society for the Arts, Sciences, and Technology, 30 (2), 97-103.
Schmidhuber, J. (1997b). What's interesting? Lugano, CH: Technical Report IDSIA-35-97.
Schmidhuber, J. (2003). Exploring the predictable. In T. Taura & Y. Nagai (Eds.), Design creativity, 579-612. London: Springer.
Schmidhuber, J. (2009). Simple Algorithmic Theory of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes. Journal of SICE, 48 (1), 21-32.
