Action Identity in Style Simulation Systems: Do Players Consider Machine-Generated Music As of Their Own Style?

Khatchatourov, A., Pachet, F. and Rowe, V. (2016) Action Identity in Style Simulation Systems: Do Players Consider Machine-Generated Music As of Their Own Style? Frontiers in Psychology, 7. 474. ISSN 1664-1078

Abstract

Metadata

Authors/Creators:
  • Khatchatourov, A.
  • Pachet, F.
  • Rowe, V.
Copyright, Publisher and Additional Information: © 2016 Khatchatourov, Pachet and Rowe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: Self-recognition; action identity; style; machine-learning; artificial intelligence; Markov models
Dates:
  • Published: 6 May 2016
  • Accepted: 17 May 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Arts and Humanities (Sheffield) > Department of Music (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 May 2016 08:42
Last Modified: 17 May 2016 08:42
Published Version: http://dx.doi.org/10.3389/fpsyg.2016.00474
Status: Published
Publisher: Frontiers Media
Refereed: Yes
Identification Number: https://doi.org/10.3389/fpsyg.2016.00474

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