Thoughts on Computational Creativity Position

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Philip Galanter: Thoughts on Computational Creativity Position. In: Schloss Dagstuhl seminar Computational Creativity 2009.



There is a close relationship between computational creativity in the arts and generative art. Prior work is summarized here as to how complexity theory can serve as a theoretical context for generative art. This is extended to show how complexity theory can also illuminate discussions regarding computational creativity.

Another prior proposal is also summarized. It suggests that a world-view called “complexism” can reconcile the current differences between the modern culture of science and the postmodern culture of the humanities. This line is also extended to considerations regarding computational creativity. Particular attention is extended here to the issues of authorship, progress, and aesthetic measurement in computational creativity.

Finally, under artistic license, I discuss some very speculative ideas regarding computational creativity that I explore in my current artwork.

Extended Abstract


 author ={Philip Galanter},
 title ={Thoughts on Computational Creativity},
 booktitle ={Computational Creativity: An Interdisciplinary Approach},
 year ={2009},
 editor ={Margaret Boden and Mark D'Inverno and Jon McCormack},
 number ={09291},
 series ={Dagstuhl Seminar Proceedings},
 ISSN ={1862-4405},
 publisher ={Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
 address ={Dagstuhl, Germany},
 URL ={, },
 annote ={Keywords: Generative art, complexity, complexism, computational creativity, modernism, postmodernism, art, art theory, computer art}

Used References

Kuhn, T.S., The structure of scientific revolutions. 3rd ed. 1996, Chicago, IL: University of Chicago Press. xiv, 212 p.

Galanter, P., What is Generative Art? Complexity theory as a context for art theory, in International Conference on Generative Art. 2003, Generative Design Lab, Milan Polytechnic: Milan, Italy.

Galanter, P., What is Complexism? Generative Art and the Cultures of Science and the Humanities in International Conference on Generative Art. 2008, Generative Design Lab, Milan Polytechnic: Milan, Italy.

Nyman, M., Experimental music : Cage and beyond. 2nd ed. 1999, Cambridge ; New York: Cambridge University Press. xx, 196.

Holmes, T.B., Electronic and experimental music : pioneers in technology and composition. 2nd ed. 2002, New York ; London: Routledge. xii, 322 p.

Sobieszek, R.A. and W.S. Burroughs, Ports of entry : William S. Burroughs and the arts. 1996, Los Angeles New York: Los Angeles County Museum of Art ; Distributed in the USA by Thames and Hudson. 192.

Gell-Mann, M., What is complexity? Complexity – John Whiley and Sons, 1995. 1(1): p. 16-19.

Galanter, P., Complexism and the role of evolutionary art, in The art of artificial evolution : a handbook on evolutionary art and music, J. Romero and P. Machado, Editors. 2008, Springer: Berlin. p. xviii, 458 p.

Snow, C.P., The two cultures. Canto ed. 1993, London ; New York: Cambridge University Press. lxxiii, 107 p.

Sim, S., The Routledge critical dictionary of postmodern thought. 1999, New York: Routledge. x, 401 p.

Hicks, S.R.C., Explaining Postmodernism. 2004: Scholargy Publishing. Koertge, N., A house built on sand : exposing postmodernist myths about science. 1998, New York: Oxford University Press. xi, 322 p.

Godel, K., On Undecidable Propositions of Formal Mathematical Systems. Lecture notes taken by Kleene and Rosser at the Institute for Advanced Study. Reprinted in Davis, M. (ed.) 1965. The Undecidable. New York: Raven, 1934.

Turing, A.M., On Computable Numbers, with an Application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, 1936. Series 2(42 (1936-37)): p. 230-265.

Shannon, C.E., A mathematical theory of communication. The Bell System Technical Journal. 27(3): p. 379--423.

Moles, A.A., Information theory and esthetic perception. 1966, Urbana,: University of Illinois Press. 217.

Kolmogorov, A.N., Three approaches to the quantitative definition of information. Problems in Information Transmission, 1965. 1: p. 1-7.

Solomonoff , R.J., A formal theory of inductive inference, Part I and Part II. Information and Control, 1964. 7: p. 1-22, 224-254.

Chaitin, G.J., On the length of programs for computing finite binary sequences. Journal of the ACM, 1966(13): p. 547-569.


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