Augmented interactive evolutionary computation for composition

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@Article{oai:inderscience.com:6616,
  title =        "Augmented interactive evolutionary computation for
                 composition",
  author =       "Motoki Kamitani and Tadashi Ae",
  journal =      "International Journal of Technology, Policy and
                 Management",
  volume =       "4",
  number =       "4",
  year =         "2005",
  month =        mar # "~28",
  pages =        "337--352",
  note =         "Special Issue on Developments in Decision
                 Technologies",
  keywords =     "genetic algorithms, genetic programming, interactive
                 evolutionary computation, sequence generation,
                 prediction agent, hidden Markov model, music
                 composition, partial sequences.",
  ISSN =         "1741-5292",
  publisher =    "Inderscience Publishers",
  bibsource =    "OAI-PMH server at www.inderscience.com",
  language =     "eng",
  oai =          "oai:inderscience.com:6616",
  relation =     "ISSN online: 1741-5292 ISSN print: 1468-4322 DOI:
                 10.1504/04.6616",
  rights =       "Inderscience Copyright",
  source =       "IJTPM (2004), Vol 4 Issue 4, pp 337 - 352",
  URL =          "http://www.inderscience.com/link.php?id=6616",
  DOI =          "doi:10.1504/04.6616",
  abstract =     "we propose an augmented interactive evolutionary
                 computation technique to generate a symbol sequence,
                 which is composed of several partial sequences. We
                 introduce two-levels of feedback mechanism for
                 evaluations, where the inner cycle induces an evolution
                 of prediction agent for evaluation realised by a hidden
                 Markov model, and the outer cycle induces an
                 interaction with the user by selecting the candidate
                 generated by the prediction agent. We describe, first,
                 the process of augmented interactive evolutionary
                 computation, and discuss the cooperative generation of
                 sequences, which affects an anticipatory effective
                 creation of formed sequence such as a music score.
                 Next, we show several experimental results, which
                 provide the generation of partial sequences and formed
                 sequence.",
  notes =        "http://www.inderscience.com/browse/index.php?journalID=28

                 Graduate School of Engineering, Hiroshima University,
                 1-4-1 Kagamiyama, Higashi-Hiroshima 739-8527, Japan. '
                 Graduate School of Engineering, Hiroshima University,
                 1-4-1 Kagamiyama, Higashi-Hiroshima 739-8527, Japan",
}

Genetic Programming entries for Motoki Kamitani Tadashi Ae

Citations