Building Artistic Computer Colleagues with an Enactive Model of Creativity

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Reference

Nicholas Davis, Yanna Popova, Ivan Sysoev, Chih-Pin Hsiao, Dingtian Zhang and Brian Magerko: Building Artistic Computer Colleagues with an Enactive Model of Creativity. In: Computational Creativity 2014 ICCC 2014, 38-45.

DOI

Abstract

This paper reports on the theory, design, and implemen- tation of an artistic computer colleague that improvises and collaborates with human users in real-time. Our system, Drawing Apprentice, is based on existing theo- ries of art, creative cognition, and collaboration synthe- sized into an enactive model of creativity. The imple- mentation details of the Drawing Apprentice are pro- vided along with early collaborative artwork created with the system. We present the enactive model of crea- tivity as a potential theoretical framework for designing creative systems involving continuous improvisational collaboration between a human and computer.

Extended Abstract

Bibtex

@inproceedings{
author = {Nicholas Davis, Yanna Popova, Ivan Sysoev, Chih-Pin Hsiao, Dingtian Zhang and Brian Magerko},
title = {Building Artistic Computer Colleagues with an Enactive Model of Creativity},
booktitle = {Proceedings of the Fifth International Conference on Computational Creativity},
series = {ICCC2014},
year = {2014},
month = {Jun},
location = {Ljubljana, Slovenia},
pages = {38-45},
url = {http://computationalcreativity.net/iccc2014/wp-content/uploads/2014/06//2.3_Davis.pdf, http://de.evo-art.org/index.php?title=Building_Artistic_Computer_Colleagues_with_an_Enactive_Model_of_Creativity },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}

Used References

Arnheim, R. (2001). Art and visual perception. Stockholms Universitet.

Adamson, R. E. (1952). Functional fixedness as related to problem solving: A repetition of three experi- ments. Journal of experimental psychology, 44(4), 288.

Barsalou, L. W. (1999). Perceptual symbol sys- tems. Behavioral and brain sciences, 22(04), 577-660.

Boden, M. A. (2003). The creative mind: Myths and mech- anisms. Routledge.

Candy, L., & Edmonds, E. (2002, October). Modeling co- creativity in art and technology. In Proceedings of the 4th conference on Creativity & cognition, 134-141. ACM.

Carroll, E. A., Latulipe, C., Fung, R., & Terry, M. (2009, October). Creativity factor evaluation: towards a standard- ized survey metric for creativity support. In Proceedings of the seventh ACM conference on Creativity and cogni- tion (pp. 127-136). ACM.

Clouzot, H., (1956). Le mystère Picasso. France: Filsonor.

Colton, S. (2008). Creativity Versus the Perception of Cre- ativity in Computational Systems. In AAAI Spring Sympo- sium: Creative Intelligent Systems (pp. 14-20).

Davis, N., Li, B., O'Neill, B., Riedl, M., & Nitsche, M. (2011, November). Distributed creative cognition in digital filmmaking. In Proceedings of the 8th ACM Conference on Creativity and Cognition, 207-216. ACM.

De Jaegher, Hanne. 2009. “Social Understanding through Direct Perception? Yes, by Interacting’ Consciousness and Cognition 18: 535-542.

Dourish, P. (2004). Where the action is: the foundations of embodied interaction. MIT press.

Gabora, L. (2010). Revenge of the “neurds”: Characteriz- ing creative thought in terms of the structure and dynamics of memory. Creativity Research Journal,22(1), 1-13.

Gaspar, J. M., & McDonald, J. J. (2014). Suppression of Salient Objects Prevents Distraction in Visual Search. The Journal of Neuroscience, 34(16), 5658-5666.

Gibson, J. J. 1986. The ecological approach to visual per- ception. Routledge.

Glenberg, A. M. (1997). What memory is for: Creating meaning in the service of action. Behavioral and brain sciences, 20(01), 41-50.

Hoffman, G., & Weinberg, G. 2010, May. Gesture-based human-robot jazz improvisation. In Robotics and Automa- tion (ICRA), 2010 IEEE International Conference on, 582- 587. IEEE.

Kosslyn, S. M. 1996. Image and brain: The resolution of the imagery debate. The MIT Press.

Laird, J. E., Rosenbloom, P. S., & Newell, A. (1986). Chunking in Soar: The anatomy of a general learning mechanism. Machine learning, 1(1), 11-46.

Li, B., Zook, A., Davis, N., & Riedl, M. O. (2012). Goal- Driven Conceptual Blending: A Computational Approach for Creativity. In International Conference on Computa- tional Creativity (Vol. 10).

Lubart, T. 2005. How can computers be partners in the creative process: classification and commentary on the special issue. International Journal of Human-Computer Studies, 63(4), 365-369.

Magerko, B., Fiesler, C., Baumer, A., & Fuller, D. 2010, June. Bottoms up: improvisational micro-agents. In Proceedings of the Intelligent Narrative Technologies III Workshop, 8. ACM.

Mace, M. A., & Ward, T. 2002. Modeling the creative pro- cess: A grounded theory analysis of creativity in the do- main of art making. Creativity Research Journal, 14(2), 179-192.

Mendonça, D., & Wallace, W. A. 2004. Cognition in jazz improvisation: An exploratory study. In 26th Annual Meet- ing of the Cognitive Science Society, Chicago, IL.

Nersessian, N. 2008. Creating scientific concepts. The MIT Press.

Newell, A. (1959). The processes of creative thinking. Rand Corporation.

Noë, A. (2004). Action in perception. MIT press. Norman, D. A. (1999). Affordance, conventions, and de- sign. interactions, 6(3), 38-43.

Pressing, J. (1984). Cognitive processes in improvisa- tion. Advances in Psychology, 19, 345-363.

Stewart, J., O. Gapenne and E. Di Paolo. 2010. Enaction: Toward a New paradigm for Cognitive Science. Cambridge, Mass: The MIT Press.

Sawyer, R. K. 2012. Explaining creativity: The science of human innovation. Oxford University Press.

Schön, D. A. 1992. Designing as reflective conversation with the materials of a design situation. Knowledge-Based Systems, 5(1), 3-14.

Shneiderman, B. (2007). Creativity support tools: acceler- ating discovery and innovation. Communications of the ACM, 50(12).

Varela, F.J, Thompson, E, and Rosch, E. 1991. The Em- bodied Mind: Cognitive Science and Human Experience. Cambridge, Mass: The MIT Press.

Vygotsky, L. S. (1980). Mind in society: The development of higher psychological processes. Harvard University Press.


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