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Incorporating characteristics of human creativity into an evolutionary art algorithm (journal article)

DiPaola, Dr. Steven and Gabora, Dr. Liane M. (2009) Incorporating characteristics of human creativity into an evolutionary art algorithm (journal article). [Journal (Paginated)]

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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:Journal (Paginated)
Keywords:art, creativity, computational creativity, evolutionary algorithm, portrait painting,algorithmic art
Subjects:Psychology > Cognitive Psychology
Computer Science > Artificial Intelligence
ID Code:6767
Deposited By:Gabora, Dr. Liane
Deposited On:30 Jan 2010 03:42
Last Modified:11 Mar 2011 08:57

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. N. Andreasen, The Creating Brain: The Neuroscience of Genius (Dana Press, New York, 2005)

2. L. Ashmore, J. Miller, Evolutionary Art with Cartesian Genetic Programming. Technical Online Report, http://www.emoware.org/evolutionary_art.asp, 2004. Accessed 30 January 2005

3. E. Baker, Evolving Line Drawings, in Proceedings of the 5th International Conference on Genetic Algorithms, ed. by S. Forrest (Morgan Kaufmann, San Francisco, CA, 1993), p. 627

4. P. Bentley, D. Corne (eds.), Creative Evolutionary Systems (Morgan Kaufmann, San Francisco, CA, 2002)

5. T. Dartnell, Artificial intelligence and creativity: an introduction. Artif. Intell. Simul. Intell. Quart. 85 (1993)

6. S. DiPaola, Painterly rendered portraits from photographs using a knowledge-based approach, in Proceedings of Human Vision and Imaging Conference XII (International Society for Optical Engineering, San Jose, CA, 2007)

7. J. Feinstein, The Nature of Creative Development (Stanford University Press, Stanford, CA, 2006)

8. G.J. Feist, The influence of personality on artistic and scientific creativity, in Handbook of Creativity, ed. by R.J. Sternberg (Cambridge University Press, Cambridge, UK, 1999)

9. L. Gabora, The beer can theory of creativity, in Creative Evolutionary Systems, ed. by P. Bentley, D. Corne (Morgan Kaufmann, San Francisco, CA, 2002), pp. 147–161

10. L. Gabora, Cognitive mechanisms underlying the creative process, in Proceedings of the Fourth International Conference on Creativity and Cognition, UK, 13–16 Oct. 2002, ed. by T. Hewett, T. Kavanagh, pp. 126–133

11. L. Gabora, Creative thought as a non-Darwinian evolutionary process. J. Creative Behav. 39(4), 65–87 (2005)

12. L. Gabora, Revenge of the neurds: characterizing creative thought in terms of the structure and dynamics of memory. Creat. Res. J. (in press)

13. L. Gabora, How does the creative process work? Psychol. Rev. (under revision)

14. L. Gabora, D. Aerts, Evolution as context-driven actualization of potential: toward an interdisciplinary theory of change of state. Interdiscipl. Sci. Rev. 30(1), 69–88 (2005). doi:10.1179/030801805X25873

15. J. Graf, W. Banzhaf, Interactive evolution of images, in Proceedings of 4th Annual Conference on

Evolutionary Programming, San Diego, CA (MIT Press, 1995), pp. 53–65

16. J. Koza, Genetic Programming (MIT Press, London, 1993)

17. J.R. Koza, M.A. Keane, M.J. Streeter, Evolving inventions. Sci. Am. 288(2), 52–59 (2003)

18. C.G. Langton, Computation at the edge of chaos. Physica D 42, 12–37 (1990). doi:10.1016/0167- 2789(90)90064-V

19. L. Lin, R. Osan, S. Shoham, W. Jin, W. Zuo, J.Z. Tsien, Identification of network-level coding units for real-time representation of episodic experiences in the hippocampus. Proc. Natl. Acad. Sci. USA 102, 6125–6130 (2005). doi:10.1073/pnas.0408233102

20. L. Lin, R. Osan, J.Z. Tsien, Organizing principles of real-time memory encoding: neural clique assemblies and universal neural codes. Trends Neurosci. 29(1), 48–57 (2006). doi:10.1016/j.tins.2005.11.004

21. J. McCormack, Open problems in evolutionary music and art, ed. by F. Rothlauf et al., in Lecture Notes in Computer Science, vol. 3449, Proceedings of Applications of Evolutionary Computing, (EvoMUSART 2005), Lausanne, Switzerland, 30 March–1 April 2005 (Springer-Verlag, Berlin, Germany, 2005), pp. 428–436, ISSN: 0302-9743 & ISBN: 3-540-25396-3

22. J. Miller, P. Thomson, Cartesian genetic programming, in Proceedings of the 3rd European Conference on Genetic Programming (Springer, LNCS 1802, 2000), pp. 121–132

23. H. Montes, J. Wyatt, Cartesian genetic programming for image processing tasks, in Proceedings of the International Conference of Neural Networks and Computational Intelligence, Mexico (Acta Press, 2003), pp. 185–190

24. U. Neisser, The multiplicity of thought. Br. J. Psychol. 54, 1–14 (1963)

25. J. Piaget, The Language and Thought of the Child (Routledge and Kegan Paul, London, 1926)

26. L.J. Rips, Necessity and natural categories. Psychol. Bull. 127(6), 827–852 (2001). doi:10.1037/0033-2909.127.6.827

27. S. Rooke, Eons of genetically evolved algorithmic images, in Creative Evolutionary Systems, ed. By P.J. Bentley, D. Corne (Morgan Kaufmann, Los Altos, CA, 2002)

28. H.A. Simon, Does scientific discovery have a logic? Philos. Sci. 40, 471–480 (1973). doi:10.1086/288559

29. D.K. Simonton, Origins of Genius: Darwinian Perspectives on Creativity (Oxford, New York, 1999)

30. D.K. Simonton, Creativity as blind variation and selective retention: is the creative process Darwinian? Psychol. Inq. 10, 309–328 (1999). doi:10.1207/S15327965PLI1004_4

31. D.K. Simonton, The creative imagination in Picasso’s Guernica sketches: monotonic improvements or nonmonotonic variants? Creat. Res. J. 19, 329–344 (2007)

32. K. Sims, Artificial evolution for computer graphics. Comput. Graph. (ACM) 25, 319–328 (1991). doi: 10.1145/127719.122752

33. S. Sloman, The empirical case for two systems of reasoning. Psychol. Bull. 9(1), 3–22 (1996). doi: 10.1037/0033-2909.119.1.3

34. S. Todd, W. Latham, Evolutionary Art and Computers (Academic, New York, 1994)

35. V_K. Vassilev, J.F. Miller, The advantages of landscape neutrality in digital circuit evolution, in Proceedings of the 3rd International Conference on Evolvable Systems: From Biology to Hardware, LNCS, vol. 1801 (Springer, 2000), pp. 252–263

36. J. Walker, J. Miller, 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 (Springer, Sitges, Spain, 2005)

37. J.A. Walker, J.F. Miller, R.A. Cavill, Multi-chromosome approach to standard and embedded cartesian genetic programming, in Proceedings of the 2006 Genetic and Evolutionary Computation Conference (GECCO 2006) (ACM Press, 2006), pp. 903–910

38. R.W. Weisberg, Creativity: Beyond the Myth of Genius (Freeman, New York, 1993)

39. R.W. Weisberg, Creativity: Understanding Innovation in Problem Solving, Science, Invention, and the Arts (Wiley, Hoboken, NJ, 2006)

40. R.W. Weisberg, Expertise and reason in creative thinking: evidence from case studies and the laboratory, in Creativity and Reason in Cognitive Development, ed. by J.C. Kauffman, J. Baer (Cambridge, New York, 2006)

41. T. Yu, J. Miller, Neutrality and the Evolvability of Boolean function landscape, in Proceedings of the Fourth European Conference on Genetic Programming (Springer-Verlag, Berlin, 2001), pp. 204–217

42. T. Yu, J.F. Miller, Through the interaction of neutral and adaptive mutations evolutionary search finds a way. Artif. Life 12, 525–551 (2006). doi:10.1162/artl.2006.12.4.525 110 Genet Program Evolvable Mach (2009) 10:97–110.

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