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Publisher: International Computer Music Association
Languages: English
Types: Article
Subjects: M1
SpectralConway is a spectral implementation of cellular automata (CA), specifically John Conway's Game of Life (GoL). The process eschews the traditional quantised grid paradigm of the CA in favour of a frequency continuum. We apply the neighbour rules to a set of floating-point values (partials), with the neighbourhood defined as a pitch interval. This paper outlines the reasons for taking this approach, the concept behind the algorithm, contextualises this approach within new developments in CA, and assesses the algorithm in the context of the piece Whitewater.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Burraston, D. Edmonds, E. “Cellular Automata in Generative Electronic Music and Sonic Art: A Historical and Technical Review”, Digital Creativity Vol. 16, No. 3, 2005, pp. 165-185.
    • [2] Ganguly, N Sikdar, B. Deutsch, A. Canright, G. Chaudhuri, P. “A survey on cellular automata”, Technical report, Centre for High Performance Computing, Dresden University of Technology, 2003.
    • [3] Gardner, Martin "Mathematical Games: The fantastic combinations of John Conway's new solitaire game "Life"", Scientific American 223 (October 1970), pp. 120-123
    • [4] Kirke, A. and Miranda, E. R. “Capturing the aesthetic: Radial mappings for cellular automata music” Journal of the ITC Sangeet Research Academy, 21, 2007, pp. 15-23.
    • [5] Kirke, A. and Miranda, E. R. 2007b. Evaluating mappings for cellular automata music. In Proceedings of ECAL Workshop on Music and Artificial Life (MusicAL, Lisbon, Portugal).
    • [6] MacLennan., B. J. “Continuous spatial automata” Technical Report CS-90-121, University of Tennessee, Dept. of Computer Science, Knoxville, 1990. http://www.cs.utk.edu/mclennan/eldcompbiblio.html, accessed 04/01/2010.
    • [7] Mc Laughlin, S. “Whitewater”, www.lutins.co.uk/whitewater, accessed 07/01/2010.
    • [8] Miranda, E. R. "Evolving Cellular Automata Music: From Sound Synthesis to Composition", Proceedings of the Workshop on Artificial Life Models for Musical Applications - ECAL 2001, Prague, Czech Republic 2001.
    • [9] Puckette M., Apel T., Lippe C., fiddle~, Center for Research in Computing and the Arts, UCSD, 2007.
    • [10] Puckette M., Apel T., Lippe C., sigmund~, Center for Research in Computing and the Arts, UCSD, 2009.
    • [11] Puckette M., Zicarelli D., et al, Max/MSP, www.cycling74.com
    • [12] Serquera, J. Miranda, E. R. “Spectral Synthesis and Control with Cellular Automata” Proceedings of the International Computer Music Conference, Belfast, NI, 2008.
    • [13] Schnell N., Schwarz D., et al, “FTM & Co: Gabor”, http://ftm.ircam.fr/index.php/Gabor, 2005.
    • [14] Toguchi, S., Akamine, Y., Satoshi, E., “Research into the Generation of Sound Effects Using a Cellular Automaton” Lecture Notes in Computer Science: Cellular Automata, Volume 5191/2009, Springer, 2008.
    • [15] Tremblay, P. A. http://www.pierrealexandretremblay.com/welcome.ht ml, accessed 06/01/2010.
    • [16] Waldrop, M. M. Complexity: The Emerging Science at the Edge of Order and Chaos, New York: Simon and Schuster, 1992, pp. 234.
    • [17] Weisstein, E. W. "Life." MathWorld-A Wolfram Web Resource. http://mathworld.wolfram.com/Life.html, accessed 04/01/2010.
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  • Discovered through pilot similarity algorithms. Send us your feedback.

    Title Year Similarity

    Spectralconway: cellular automata off the grid

    2010100
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