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Open Problems in Evolutionary Music and Art

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Applications of Evolutionary Computing (EvoWorkshops 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3449))

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Abstract

Applying evolutionary methods to the generation of music and art is a relatively new field of enquiry. While there have been some important developments, it might be argued that to date, successful results in this domain have been limited. Much of the present research can be characterized as finding adhoc methods that can produce subjectively interesting results. In this paper, it is argued that a stronger overall research plan is needed if the field is to develop in the longer term and attract more researchers. Five ‘open problems’ are defined and explained as broad principle areas of investigation for evolutionary music and art. Each problem is explained and the impetus and background for it is described in the context of creative evolutionary systems.

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References

  1. Dissanayake, E.: Homo Aestheticus: Where Art Comes from and Why. University of Washington Press, Seattle (1995)

    Google Scholar 

  2. Dissanayake, E.: What Is Art For? University of Washington Press, Seattle (1988)

    Google Scholar 

  3. Pinker, S.: How the Mind Works. Penguin Press, Middlesex (1997)

    Google Scholar 

  4. Miller, G.F.: The Mating Mind: How Sexual Choice Shaped the Evolution of Human Nature. William Heinemann, London (2000)

    Google Scholar 

  5. Brown, D.E.: Human Universals. McGraw-Hill, New York (1991)

    Google Scholar 

  6. Miller, G.F.: Evolution of Human Music through Sexual Selection. In: Wallin, N.L., Merker, B., Brown, S. (eds.) The Origins of Music, pp. 329–360. MIT Press, Cambridge (2000)

    Google Scholar 

  7. Dartnall, T. (ed.): Creativity, Cognition, and Knowledge: An Interaction. Praeger, Westport, Connecticut, London (2002)

    Google Scholar 

  8. Bedau, M.A., McCaskill, J.S., Packard, N.H., Rasmussen, S., Adami, C., Green, D., Ikegami, T., Kaneko, K., Ray, T.S.: Open Problems in Artificial Life. Artificial Life 6(4), 363–376 (2000)

    Article  Google Scholar 

  9. Langton, C.G.: Artificial Life. In: Langton, C.G. (ed.) Artificial Life, SFI Studies in the Sciences of Complexity, pp. 1–47. Addison-Wesley, Reading (1989)

    Google Scholar 

  10. Bonabeau, E.W., Theraulaz, G.: Why Do We Need Artificial Life? Artificial Life 1(3), 303–325 (1994)

    Article  Google Scholar 

  11. Sims, K.: Artificial Evolution for Computer Graphics. In: Proceedings of SIGGRAPH 1991, Las Vegas, Nevada, July 28 - August 2 (1991); Computer Graphics. ACM SIGGRAPH, New York, NY 25(4), 319–328 (1991)

    Google Scholar 

  12. Rooke, S.: Eons of Genetically Evolved Algorithmic Images. In: Bentley, P.J., Corne, D.W. (eds.) Creative Evolutionary Systems, pp. 339–365. Academic Press, London (2002)

    Chapter  Google Scholar 

  13. Taylor, T.: Creativity in Evolution: Individuals, Interactions, and Environments. In: Bentley, P.J., Corne, D.W. (eds.) Creative Evolutionary Systems, pp. 79–108. Academic Press, London (2002)

    Chapter  Google Scholar 

  14. McCormack, J.: Evolving Sonic Ecosystems. Kybernetes 32(1/2), 184–202 (2003)

    Article  Google Scholar 

  15. Kitano, H.: Designing Neural Networks Using Genetic Algorithms with Graph Generation System. Complex Systems 4(4), 461–476 (1990)

    MATH  Google Scholar 

  16. Birkhoff, G.D.: Aesthetic Measure. Harvard University Press, Cambridge (1933)

    MATH  Google Scholar 

  17. Ramachandran, V.S.: The Emerging Mind. Reith Lectures. BBC in association with Profile Books, London (2003)

    Google Scholar 

  18. Doczi, G.: The Power of Limits: Proportional Harmonies in Nature, Art and Architecture. Shambhala (Distributed by Routledge & Kegan Paul), London (1981)

    Google Scholar 

  19. Nake, F.: How Far Away Are We from the First Masterpiece of Computer Art? In: Brunnstein, K., Raubold, E. (eds.) 13th World Congress 1994, pp. 406–413. Elsevier Science, B.V, North-Holland (1994)

    Google Scholar 

  20. Zelevansky, L.: Beyond Geometry: Experiments in Form, 1940s-70s. MIT Press, Cambridge (2004)

    Google Scholar 

  21. Partridge, D., Rowe, J.: Computers and Creativity. Intellect Books, Oxford, England (1994)

    Google Scholar 

  22. Boden, M.A.: What Is Creativity? In: Boden, M.A. (ed.) Dimensions of Creativity, pp. 75–117. MIT Press, Cambridge (1994)

    Google Scholar 

  23. Saunders, R., Gero, J.S.: Artificial Creativity: A Synthetic Approach to the Study of Creative Behaviour. In: Gero, J.S. (ed.) Proceedings of the Fifth Conference on Computational and Cognitive Models of Creative Design, Key Centre of Design Computing and Cognition, Sydney (2001)

    Google Scholar 

  24. Cariani, P.: Emergence and Artificial Life. In: Langton, C.G., Taylor, C., Farmer, D., Rasmussen, S. (eds.) Artificial Life II. SFI Studies in the Sciences of Complexity, pp. 775–797. Addison-Wesley, Redwood City (1991)

    Google Scholar 

  25. Whitelaw, M.: Metacreation: Art and Artificial Life. MIT Press, Cambridge (2004)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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McCormack, J. (2005). Open Problems in Evolutionary Music and Art. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2005. Lecture Notes in Computer Science, vol 3449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32003-6_43

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  • DOI: https://doi.org/10.1007/978-3-540-32003-6_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25396-9

  • Online ISBN: 978-3-540-32003-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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