This paper describes a computational model for creativity in which surprise plays a central role. There is no doubt that creative prod-ucts, being unexpected and unpredictable products, cause surprise. Supported by recent evidences from neuroscience and psychol-ogy, which say emotions are biasing devices in decision-making, we defend that decisions made during the creative process may be, to some extent, surprise-guided in order to make the resulting products surprising. Moreover, when evaluating a product in regard to its creativity, the intensity of surprise that product causes is certainly one part of that evaluation. We illustrate with examples the role played by surprise both in the production of creative products and in the evaluation of already existing creative products.
Conference
AISB\'01 Symposium on Creativity in Arts and Science, April 2001
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Year 2019 : 5 citations
Ritchie, G. (2019). The evaluation of creative systems. In Computational Creativity (pp. 159-194). Springer, Cham.
Wiggins, G. A. (2019). A framework for description, analysis and comparison of creative systems. In Computational Creativity (pp. 21-47). Springer, Cham.
Foster, M. I., & Keane, M. T. (2019). The role of surprise in learning: different surprising outcomes affect memorability differentially. Topics in cognitive science, 11(1), 75-87.
Tsao, J. Y., Ting, C. L., & Johnson, C. M. (2019). Creative outcome as implausible utility. Review of General Psychology, 23(3), 279-292.
Silk, E. M., Daly, S. R., Jablokow, K. W., & McKilligan, S. (2019). Incremental to radical ideas: Paradigm-relatedness metrics for investigating ideation creativity and diversity. International Journal of Design Creativity and Innovation, 7(1-2), 30-49.
Year 2018 : 1 citations
Colton, S., Pease, A., & Saunders, R. (2018). Issues of authenticity in autonomously creative systems. In Proceedings of the Ninth International Conference on Computational Creativity.
Year 2017 : 1 citations
Baccan, D. D. A. (2017). Contributions of Computational Cognitive Modeling to the Understanding of the Financial Markets (Doctoral dissertation, universidade de Coimbra).
Year 2015 : 5 citations
Toivonen, Hannu, and Oskar Gross. "Data mining and machine learning in computational creativity." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5.6 (2015): 265-275.
Foster, Meadhbh I., and Mark T. Keane. "Why some surprises are more surprising than others: Surprise as a metacognitive sense of explanatory difficulty." Cognitive psychology 81 (2015): 74-116.
Ascone, Laura. "The Computer-mediated Expression of Surprise: a corpus analysis of chats by English and Italian native speakers and Italian learners of English." Review of Cognitive Linguistics 13.2 (2015): 383-383.
Foster, Meadhbh I., and Mark T. Keane. "Why some surprises are more surprising than others: Surprise as a metacognitive sense of explanatory difficulty." Cognitive psychology 81 (2015): 74-116.
Demey, Lorenz. "The dynamics of surprise." Logique et Analyse 58.230 (2015): 251-277.
Demey, Lorenz. "Surprise in Probabilistic Dynamic Epistemic Logic." Logic and Interactive Rationality Yearbook 2012. Vol. 1. Institute for Logic, Language and Computation, 2014.
Piros, A., and B. Vidovics. "NOVEL METHOD TO ASSIST HUMAN CREATIVITY IN THE EARLY PHASES OF THE DESIGN PROCESS."
Year 2013 : 1 citations
Foster, M., & Keane, M. T. (2013). Surprise: Youve got some explaining to do. arXiv preprint arXiv:1308.2236.
Year 2012 : 2 citations
Monteith, K., Martinez, T., & Ventura, D. (2012). Automatic generation of melodic accompaniments for lyrics. In Proceedings of the International Conference on Computational Creativity (pp. 87-94).
H. Yu, Z. Shen, Q. Wu, and C. Miao, "Designing Socially Intelligent Virtual Companions,"
presented at the 25th International Conference on Computer Animation and Social
Agents (CASA'12), 2012
Year 2011 : 3 citations
Pease, A. & Aberdein, A. (2011). FIVE THEORIES OF REASONING: Interconnections and applications to mathematics Logic and Logical Philosophy, 20, 7–57.
Ventura, D. No Free Lunch in the Search for Creativity International Conference on Computactional Creativity, 2011
Year 2010 : 2 citations
Lori McCay-Peet, Elaine G. Toms. (2010) The process of serendipity in knowledge work. Proceeding IIiX '10 Proceeding of the third symposium on Information interaction in context
Musta'amal, A. H. An empirical investigation of the relationship of CAD use in designing and creativity through a creative behaviours framework Loughborough University, 2010
Year 2009 : 2 citations
L. Nguyen and G. Shanks, "A framework for understanding creativity in requirements engineering," Information and Software Technology, vol. 51, pp. 655-662, 2009
Gonçalves, A. (2009). Sense2 A Music System based on Paintings. MSc Thesis, Instituto Superior Técnico.
Year 2008 : 1 citations
Pachet, F. (2008). Chapter N+1: Enhancing Individual Creativity with Interactive Musical Reflective Systems. In Deliège, I. & Wiggins, G. (Eds.), Musical Creativity: Current Research in Theory and Practice. Psychology Press.
Year 2006 : 2 citations
Medina, R. (2006). Computational Explorations of Creativity and Innovation in Design. Tese de Doutoramento. Sydney Digital Thesis.
Pachet, F. (2006). Creativity Studies and Musical Interaction, Psychology Press.
Year 2005 : 1 citations
Haenen, J. (2005). The suitability of connectionist knowledge representation for arti?cial creativity.
Year 2004 : 1 citations
Pachet, F. (2004). Creativity studies and musical interaction. In Deliège, I. & Wiggins, G. (Eds.), Musical Creativity: Current Research in Theory and Practice. Psychology Press.
Year 2002 : 1 citations
- Saunders, R. (2002). Curious Design Agents and Artificial Creativity - A Synthetic Approach to the Study of Creative Behaviour.
Year 2001 : 2 citations
Pease, A., Winterstein, D., & Colton, S. (2001). Evaluating Machine Creativity, Proceedings of the ICCBR'01 Workshop on Creative Systems.
Pease, A., Winterstein, D., & Colton, S. (2001). Evaluating Machine Creativity ( Informatics Research Report EDI-INF-RR-0054): Division of Informatics - Centre for Intelligent Systems and their Applications - University of Edinburgh