A Parsimonious Cognitive Architecture for Human-Computer Interactive Musical Free Improvisation

  • Adam Linson
  • Chris Dobbyn
  • Robin Laney
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 196)

Abstract

This paper presents some of the historical and theoretical foundations for a new cognitive architecture for human-computer interactive musical free improvisation. The architecture is parsimonious in that it has no access to musical knowledge and no domain-general subsystems, such as memory or representational abilities. The paper first describes some of the features and limitations of the architecture. It then illustrates how this architecture draws on insights from cybernetics, artificial life, artificial intelligence and ecological theory by situating it within a historical context. The context presented consists of a few key developments in the history of biologically-inspired robotics, followed by an indication of how they connect to James Gibson’s ecological theory. Finally, it describes how a recent approach to musicology informed by ecological theory bears on an implementation of this architecture.

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References

  1. 1.
    Ashby, W.R.: Design for a brain: The origin of adaptive behaviour. Chapman and Hall (1960)Google Scholar
  2. 2.
    Brooks, R.A.: Cambrian intelligence: The early history of the new AI. MIT Press (1999)Google Scholar
  3. 3.
    Clarke, E.F.: Ways Of listening: An ecological approach to the perception of musical meaning. Oxford University Press (2005)Google Scholar
  4. 4.
    Gerrans, P., Stone, V.: Generous or parsimonious cognitive architecture? Cognitive neuroscience and theory of mind. The British Journal for the Philosophy of Science 59(2), 121–141 (2008)CrossRefGoogle Scholar
  5. 5.
    Gibson, J.J.: The theory of affordances. In: Shaw, R., Bransford, J. (eds.) Perceiving, Acting, and Knowing: Toward an Ecological Psychology, pp. 67–82. Lawrence Erlbaum (1977)Google Scholar
  6. 6.
    Gibson, J.J.: The ecological approach to visual perception. Mifflin and Company, Houghton (1979)Google Scholar
  7. 7.
    Givan, B.: Thelonious Monk’s pianism. Journal of Musicology 26(3), 404–442 (2009)CrossRefGoogle Scholar
  8. 8.
    Holland, O.: Exploration and high adventure: The legacy of Grey Walter. Philosophical Transactions of the Royal Society of London 361(1811), 2085–2121 (2003)MathSciNetGoogle Scholar
  9. 9.
    Laird, J.: The Soar cognitive architecture. MIT Press (2012)Google Scholar
  10. 10.
    Lewis, G.: Improvising tomorrow’s bodies: The politics of transduction. E-misférica 4.2 (2007)Google Scholar
  11. 11.
    Linson, A., Dobbyn, C., Laney, R.: Interactive intelligence: Behaviour-based AI, musical HCI and the Turing test. In: Müller, V., Ayesh, A. (eds.) Revisiting Turing and His Test: Comprehensiveness, Qualia, and the Real World (AISB/IACAP Symposium, Alan Turing Year 2012), pp. 16–19 (2012a)Google Scholar
  12. 12.
    Linson, A., Dobbyn, C., Laney, R.: Critical issues in evaluating freely improvising interactive music systems. In: Maher, M., Hammond, K., Pease, A., Pérez, R., Ventura, D., Wiggins, G. (eds.) Proceedings of the Third International Conference on Computational Creativity, pp. 145–149 (2012b)Google Scholar
  13. 13.
    Monson, I.: Doubleness and jazz improvisation: Irony, parody, and ethnomusicology. Critical Inquiry 20(2), 283–313 (1994)CrossRefGoogle Scholar
  14. 14.
    Sansom, M.J.: Musical meaning: A qualitative investigation of free improvisation. PhD thesis, University of Sheffield (1997)Google Scholar
  15. 15.
    Turing, A.M.: Computing machinery and intelligence. Mind 59(236), 433–460 (1950)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Walter, W.G.: An imitation of life. Scientific American 182(5), 42–45 (1950)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Adam Linson
    • 1
  • Chris Dobbyn
    • 1
  • Robin Laney
    • 1
  1. 1.Faculty of Mathematics, Computing and Technology, Department of ComputingThe Open UniversityMilton KeynesUK

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