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A Hybrid Approach to Automated Music Composition

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Artificial Intelligence Perspectives in Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 464))

Abstract

Automated music composition typically employs genetic algorithms and/or stochastic methods using randomness in lieu of creativity. When properly guided these approaches can yield listenable music yet they lack another aspect of the music composition process: planning. Without planning, there may be no coherent structure or themes in the composed music. Planning can be employed to provide such structure by overseeing or controlling the genetic algorithm and/or stochastic methods in a hybrid architecture. In this paper, the system MAGE is presented which combines stochastic processing, genetic algorithms and planning to compose music that contains both structure and elements of randomness.

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Authors and Affiliations

  1. Department of Computer Science, Northern Kentucky University, Highland Heights, KY, 41099, USA

    Richard Fox & Robert Crawford

Authors
  1. Richard Fox
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  2. Robert Crawford
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Corresponding author

Correspondence to Richard Fox .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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© 2016 Springer International Publishing Switzerland

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Fox, R., Crawford, R. (2016). A Hybrid Approach to Automated Music Composition. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Artificial Intelligence Perspectives in Intelligent Systems. Advances in Intelligent Systems and Computing, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-319-33625-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-33625-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33623-7

  • Online ISBN: 978-3-319-33625-1

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