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Workshops on Applications of Evolutionary Computation

EvoWorkshops 2009: Applications of Evolutionary Computing pp 547–556Cite as

Composing Using Heterogeneous Cellular Automata

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5484))

Abstract

Music composition is a highly intelligent activity. Composers exploit a large number of possible patterns and creatively compose a new piece of music by weaving various patterns together in a musically intelligent manner. Many researchers have investigated algorithmic compositions and realised the limitations of knowledge elicitation and knowledge exploitation in a given representation/computation paradigm. This paper discusses the applications of heterogeneous cellular automata (hetCA) in generating chorale melodies and Bach chorales harmonisation. We explore the machine learning approach in learning rewrite-rules of cellular automata. Rewrite-rules are learned from music examples using a time-delay neural network. After the hetCA has successfully learned musical patterns from examples, new compositions are generated from the hetCA model.

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Author information

Authors and Affiliations

  1. Music Informatics Research Group, Multimedia University, Jln Multimedia, 63100, Cyberjaya, Selangor Darul Ehsan, Malaysia

    Somnuk Phon-Amnuaisuk

Authors
  1. Somnuk Phon-Amnuaisuk
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Editor information

Editors and Affiliations

  1. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, Italy

    Mario Giacobini

  2. Quinn School of Business, Belfield, University College Dublin, Dublin 4, Ireland

    Anthony Brabazon

  3. Department of Computer Engineering, University of Parma, Viale Usberti 181/a, 43100, Parma, Italy

    Stefano Cagnoni

  4. Dalla Molle Institute for Artificial Intelligence (IDSIA), Gallelria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  5. School of Engineering and Applied Science,Aston Triangle, Aston University, B4 7ET, Birmingham, UK

    Anikó Ekárt

  6. Complex Adaptive Systems Group, Instituto Tecnológico de Informática, Ciudad PolitŽcnica de la Innovacin, Edif. 8G Acceso B, 46022, Valencia, Spain

    Anna Isabel Esparcia-Alcázar

  7. Next Generation Itelligent Networks Research Center (nexGIN RC), National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan

    Muddassar Farooq

  8. Faculty of Economics and Social Sciences, Helmut-Schmidt-University, Holstenhofweg 85, 22043, Hamburg, Germany

    Andreas Fink

  9. Department of Informatics Engineering, Polo II - Pinhal de Marrocos, University of Coimbra, 3030 - 290, Coimbra, Portugal

    Penousal Machado

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© 2009 Springer-Verlag Berlin Heidelberg

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Phon-Amnuaisuk, S. (2009). Composing Using Heterogeneous Cellular Automata. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_61

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  • DOI: https://doi.org/10.1007/978-3-642-01129-0_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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