ABSTRACT
This paper present a novel approach to modelling creative societies using curious design agents. The importance of modelling the social aspects of creativity are first presented and a novel agent-based approach is developed. Curious design agents are introduced as an appropriate model of individuals in a creative society. Some of the advantages of using curious design agents to model creative societies are discussed. Results from some initial investigations into self-organisation within creative societies using the model are given. This paper concludes by discussing some related work and exploring possible directions for future work.
- Sternberg, R.J., Lubart, T.I.: The concept of creativity: prospects and paradigms. In: Sternberg, R.J. (ed.) Handbook of Creativity, pp. 3-15. Cambridge University Press, Cambridge, UK (1999).Google Scholar
- Boden, M.A.: The Creative Mind: Myths and Mechanisms. Cardinal, London, UK (1990). Google Scholar
Digital Library
- Gardner, H.: Creating Minds: An Anatomy of Creativity Seen Through the Lives of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham and Gandhi. Basic Books, New York (1993).Google Scholar
- Csikszentmihalyi, M.: Society, culture and person: a systems view of creativity. In: Sternberg, R.J. (ed.) The Nature of Creativity: Contemporary Psychological Perspectives, pp. 325-339. Cambridge University Press, Cambridge (1988).Google Scholar
- Newell, A., Shaw, J.C., Simon, H.A.: The process of creative thinking. In: Gruber, H., Terrell, G., Wertheimer, M. (eds.) Contemporary Approaches to Creative Thinking, pp. 63-119. Atherton Press, New York (1962).Google Scholar
- Liu, Y.T.: Creativity or novelty? Design Studies 21, 261-276 (2000).Google Scholar
Cross Ref
- Gabora, L.: Meme and variations: A computer model of cultural evolution. In: Nadel, L., Stein, D. (eds.): 1993 Lectures in Complex Systems. Addison-Wesley, Reading (1995).Google Scholar
- Markou, M., Singh, S.: Novelty detection: A review, part i: Statistical approaches. Signal Processing 83, 2481-2497 (2003). Google Scholar
Digital Library
- Markou, M., Singh, S.: Novelty detection: A review, part ii: Neural network based approaches. Signal Processing 83, 2499-2521 (2003). Google Scholar
Digital Library
- Berlyne, D.E.: Conflict, Arousal and Curiosity. McGraw-Hill, New York (1960).Google Scholar
- Sims, K.: Artificial evolution for computer graphics. Computer Graphics 25, 319- 328 (1991). Google Scholar
Digital Library
- Witbrock, M., Reilly, S.N.: Evolving genetic art. In: Bentley, P.J. (ed.) Evolutionary Design by Computers, pp. 251-259. Morgan Kaufman, San Francisco, CA (1999).Google Scholar
- Kohonen, T.: Self-Organizing Maps. Springer, Heidelberg (1995). Google Scholar
Digital Library
- Martindale, C.: The Clockwork Muse. Basic Books, New York (1990).Google Scholar
- Mandelbrot, B.B.: The Fractal Geometry of Nature. W. H. Freeman & Co. New York (1977).Google Scholar
- Schmidhuber, J.: Curious model-building control systems. In: Proceedings of the International Joint Conference on Neural Networks, Singapore, vol. 2, pp. 1458- 1463. IEEE, New York (1991).Google Scholar
Cross Ref
- Marsland, S., Nehmzow, U., Shapiro, J.: Novelty detection for robot neotaxis. In: International Symposium On Neural Computation (NC'2000), pp. 554-559 (2000).Google Scholar
- Singh, S., Barto, A.G., Chentanez, N.: Intrinsically motivated reinforcement learning. Neural Information Processing 18 (2004).Google Scholar
- Merrick, K., Maher, M.L.: Motivated reinforcement learning for non-player characters in persistent computer game worlds. In: ACM SIGCHI International Conference on Advances in Computer Entertainment Technology (ACE 2006), Los Angeles, USA (2006). Google Scholar
Digital Library
- Sosa, R., Gero, J.S.: A computational study of creativity in design: the role of society. In: AIEDAM (2005).Google Scholar
- Falkenhainer, B., Forbus, K.D., Gentner, D.: The structure-mapping engine: Algorithm and examples. Artificial Intelligence 41, 1-63 (1989). Google Scholar
Digital Library
- Haag, G., Liedl, P.: Modelling and simulating innovation behaviour within microbased correlated decision processes. Journal of Artificial Societies and Social Simulation 4 (2001).Google Scholar
- Steels, L.: A self-organizing spatial vocabulary. Artificial Life 2, 319-332 (1995). Google Scholar
Digital Library
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