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Incorporating characteristics of human creativity into an evolutionary art algorithm

DiPaola, Dr. S. and Gabora, Dr. L. (2007) Incorporating characteristics of human creativity into an evolutionary art algorithm. [Conference Paper] (In Press)

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Abstract

A perceived limitation of evolutionary art and design algorithms is that they rely on human intervention; the artist selects the most aesthetically pleasing variants of one generation to produce the next. This paper discusses how computer generated art and design can become more creatively human-like with respect to both process and outcome. As an example of a step in this direction, we present an algorithm that overcomes the above limitation by employing an automatic fitness function. The goal is to evolve abstract portraits of Darwin, using our 2nd generation fitness function which rewards genomes that not just produce a likeness of Darwin but exhibit certain strategies characteristic of human artists. We note that in human creativity, change is less choosing amongst randomly generated variants and more capitalizing on the associative structure of a conceptual network to hone in on a vision. We discuss how to achieve this fluidity algorithmically.

Item Type:Conference Paper
Keywords:creativity, computer art, evolutionary art, honing, associative structure,
Subjects:Biology > Evolution
Psychology > Cognitive Psychology
Computer Science > Artificial Intelligence
ID Code:5585
Deposited By: Gabora, Dr. Liane
Deposited On:07 Jun 2007
Last Modified:11 Mar 2011 08:56

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

[1] Andreasen, N. The Creating Brain: the Neuroscience of Genius. New York: Dana Press. 2005.

[2] Ashmore, L., and Miller, J. Evolutionary Art with Cartesian Genetic Programming. Technical Online Report. http://www.emoware.org/evolutionary_art.asp. 2004.

[3] Baker, E. Evolving Line Drawings. In Proceedings of the 5th international Conference on Genetic Algorithms S. Forrest, Ed. Morgan Kaufmann Publishers, San Francisco, CA, 627. 1993.

[4] Bentley, P., and Corne, D. eds. Creative Evolutionary Systems, San Francisco, CA.: Morgan Kaufmann. 2002.

[5] Dartnell, T. Artificial intelligence and creativity: An introduction. Artificial Intelligence and the Simulation of Intelligence Quarterly 85 1993.

[6] DiPaola S, Painterly Rendered Portraits from Photographs using a Knowledge-Based Approach, Proceedings of Human Vision and Imaging Conference, International Society for Optical Engineering. 2007.

[7] Gabora, L. Toward a theory of creative inklings. In (R. Ascott, Ed.) Art, Technology, and Consciousness, Intellect Press, Bristol, UK. 2000.

[8] Gabora, L. The beer can theory of creativity, in (P. Bentley and D. Corne, Eds.) Creative Evolutionary Systems, pp. 147-161. San Francisco, CA.: Morgan Kaufmann. 2002.

[9] Gabora, L. Cognitive mechanisms underlying the creative process. In (T. Hewett and T. Kavanagh, Eds.) Proceedings of the Fourth International Conference on Creativity and Cognition, Oct 13-16, UK, 126-133. 2002.

[10] Gabora, L. Creative thought as a non-Darwinian evolutionary process. Journal of Creative Behavior, 39(4), 65−87. 2005.

[11] Gabora, L. (submitted). Revenge of the neurds: Characterizing creative thought in terms of the structure and dynamics of memory.

[12] Gabora, L., and Aerts, D. Evolution as context-driven actualization of potential: Toward an interdisciplinary theory of change of state. Interdisciplinary Science Review, 30(1), 69-88. 2005.

[13] Graf, J., and Banzhaf, W. Interactive evolution of images. In Proc. of Int. Conference on Evolutionary Programming, San Diego. 1995.

[14] Koza, J. Genetic Programming. London, UK: MIT Press. 1993.

[15] Koza, J R., Keane, M A., and Streeter, M J. Evolving inventions. Scientific American. February 2003. 288(2) 52 – 59. 2003.

[16] Lin, L., Osan, R., Shoham, S., Jin, W., Zuo, Wenjun and Tsien, Joe Z. Identification of network-level coding units for real-time representation of episodic experiences in the hippocampus, Proceedings of the National Academy of Sciences, 102, 6125-6130. 2005.

[17] Lin, L., Osan, R., and Tsien, J. Z. Organizing principles of real-time memory encoding: Neural clique assemblies and universal neural codes. Trends in Neurosciences, 29(1), 48-57. 2006.

[18] Miller, J., and Thomson, P. Cartesian Genetic Programming. Proceedings of the 3rd European Conference on Genetic Programming, 121-132. Edinburgh, UK. 2000.

[19] Montes, H., and Wyatt, J. Cartesian Genetic Programming for Image Processing Tasks. Proceedings of the International Conference of Neural Networks and Computational Intelligence, 185-190, Mexico. 2003.

[20] Neisser, U. The multiplicity of thought. British Journal of Psychology, 54, 1-14. 1963.

[21] Piaget, J. The Language and Thought of the Child. Routledge and Kegan Paul, London. 1926.

[22] Rips, L. J. Necessity and natural categories. Psychological Bulletin, 127(6), 827-852. 2001.

[23] Rooke, S. Eons of Genetically Evolved Algorithmic Images. In: Bentley P. J., and Corne D. (eds.): Creative Evolutionary systems, Morgan Kaufmann. 2002.

[24] Simon, H. A. Does scientific discovery have a logic? Philosophy of Science, 40 (December 1973), 471-480.

[25] Simonton, D. K. Origins of genius: Darwinian perspectives on creativity. New York: Oxford. 1999.

[26] Simonton, D. K. Creativity as blind variation and selective retention: Is the creative process Darwinian? Psychological Inquiry 10, 309−328. 1999.

[27] Simonton, D. K. (in press). The creative imagination in Picasso’s Guernica sketches: Monotonic improvements or nonmonotonic variants? Creativity Research Journal.

[28] Sims, K. Artificial Evolution for Computer Graphics. Computer Graphics, 25, 319-328. 1991.

[29] Sloman, S. The empirical case for two systems of Reasoning. Psychological Bulletin, 9(1), 3-22. 1996.

[30] 30. Todd, S., and Latham, W. Evolutionary Art and Computers. Academic Press, Inc. 1994.

[31] 31. Walker, J and Miller, J. Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction. Evolvable Systems: From Biology to Hardware, 6th International Conference, ICES 2005, Proceedings, Sitges, Spain. Springer. 2005.

[32] Weisberg, R. W. Creativity: Beyond the myth of genius. New York: Freeman. 1993.

[33] Weisberg, R. W. Creativity: Understanding innovation in problem solving, science, invention, and the arts. Hoboken, NJ: John Wiley. 2006.

[34] Weisberg, R. W. Expertise and reason in creative thinking: Evidence from case studies and the laboratory. In J. C. Kauffman and J. Baer (Eds.). Creativity and reason in cognitive development. New York: Cambridge. 2006.

[35] Yu, T., and Miller, J. Neutrality and the Evolvability of Boolean function landscape. Proceedings of the Fourth European Conference on Genetic Programming, 204-217. Berlin Springer-Verlag. 2001.

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