Using evolving agents to critique subjective music compositions

Chuen Tsai Sun, Ji Lung Hsieh, Chung Yuan Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authors describe a recommender model that uses intermediate agents to evaluate a large body of subjective data according to a set of rules and make recommendations to users. After scoring recommended items, agents adapt their own selection rules via interactive evolutionary computing to fit user tastes, even when user preferences undergo a rapid change. The model can be applied to such tasks as critiquing large numbers of music or written compositions. In this paper we use musical selections to illustrate how agents make recommendations and report the results of several experiments designed to test the model's ability to adapt to rapidly changing conditions yet still make appropriate decisions and recommendations.

Original languageEnglish
Title of host publicationComputational Intelligence and Security - International Conference, CIS 2006, Revised Selected Papers
Pages336-346
Number of pages11
Publication statusPublished - 2007 Dec 1
EventInternational Conference on Computational Intelligence and Security, CIS 2006 - Guangzhou, China
Duration: 2006 Nov 32006 Nov 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4456 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Computational Intelligence and Security, CIS 2006
CountryChina
CityGuangzhou
Period06/11/306/11/6

Fingerprint

Music
Recommendations
Chemical analysis
Evolutionary Computing
Selection Rules
User Preferences
Scoring
Model
Evaluate
Experiment
Experiments

Keywords

  • Adaptive agent
  • Content-based filtering
  • Critiquing subjective data
  • Interactive evolutionary computing
  • Music recommender system

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Sun, C. T., Hsieh, J. L., & Huang, C. Y. (2007). Using evolving agents to critique subjective music compositions. In Computational Intelligence and Security - International Conference, CIS 2006, Revised Selected Papers (pp. 336-346). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4456 LNAI).

Using evolving agents to critique subjective music compositions. / Sun, Chuen Tsai; Hsieh, Ji Lung; Huang, Chung Yuan.

Computational Intelligence and Security - International Conference, CIS 2006, Revised Selected Papers. 2007. p. 336-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4456 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sun, CT, Hsieh, JL & Huang, CY 2007, Using evolving agents to critique subjective music compositions. in Computational Intelligence and Security - International Conference, CIS 2006, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4456 LNAI, pp. 336-346, International Conference on Computational Intelligence and Security, CIS 2006, Guangzhou, China, 06/11/3.
Sun CT, Hsieh JL, Huang CY. Using evolving agents to critique subjective music compositions. In Computational Intelligence and Security - International Conference, CIS 2006, Revised Selected Papers. 2007. p. 336-346. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Sun, Chuen Tsai ; Hsieh, Ji Lung ; Huang, Chung Yuan. / Using evolving agents to critique subjective music compositions. Computational Intelligence and Security - International Conference, CIS 2006, Revised Selected Papers. 2007. pp. 336-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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