Towards models of user preferences in interactive musical evolution

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Towards models of user preferences in interactive musical evolution

Full text

Pdf (69 KB)

Source

Genetic And Evolutionary Computation Conference archive
Proceedings of the 9th annual conference on Genetic and evolutionary computation table of contents

London, England

POSTER SESSION: Real-world applications: posters table of contents

Pages: 2254 - 2254

Year of Publication: 2007

ISBN:978-1-59593-697-4

Authors

Dan Costelloe	University of Limerick, Limerick, Ireland
Conor Ryan	University of Limerick, Limerick, Ireland

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 16, Citation Count: 0

Additional Information:

abstract references index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1276958.1277389 What is a DOI?

ABSTRACT

We describe the "bottom-up" construction of a system which aims to build models of human musicalpreferences with strong predictive power. We use Grammatical Evolution to construct models from toydatasets which mimic real-world user-generated data. These models will ultimately substitute for the subjective fitness functions that human users employ during Interactive Evolution of melodies.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

D. Costelloe and C. Ryan. Genetic Programming for Subjective Fitness Function Identification. In M. Keijzer et al., editors, EuroGP 2004 Proceedings, volume 3003 of LNCS, pages 259--268, Coimbra, Portugal, 2004. Springer-Verlag.

INDEX TERMS

Primary Classification:
I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.2 Automatic Programming
Subjects: Program synthesis