Open Problems in Evolutionary Music and Art

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{McCormack:evows05,

• author = "Jon McCormack",
• title = "Open Problems in Evolutionary Music and Art",
• booktitle = "Applications of Evolutionary Computing, EvoWorkshops2005: {EvoBIO}, {EvoCOMNET}, {EvoHOT}, {EvoIASP}, {EvoMUSART}, {EvoSTOC}",
• year = "2005",
• month = "30 " # mar # "-1 " # apr,
• editor = "Franz Rothlauf and Juergen Branke and Stefano Cagnoni and David W. Corne and Rolf Drechsler and Yaochu Jin and Penousal Machado and Elena Marchiori and Juan Romero and George D. Smith and Giovanni Squillero",
• series = "LNCS",
• volume = "3449",
• publisher = "Springer Verlag",
• address = "Lausanne, Switzerland",
• publisher_address = "Berlin",
• keywords = "genetic algorithms, genetic programming, evolutionary computation, ANN",
• ISBN = "3-540-25396-3",
• ISSN = "0302-9743",
• URL = "http://www.csse.monash.edu.au/~jonmc/research/Papers/OpenProblemsSV.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary;jsessionid=73ABB1E32E7A3495A97E50F90A14CB3B?doi=10.1.1.146.4684",
• DOI = "doi:10.1007/978-3-540-32003-6_43",
• size = "9 pages",
• abstract = "Applying evolutionary methods to the generation of music and art is a relatively new field of enquiry. While there have been some important developments, it might be argued that to date, successful results in this domain have been limited. Much of the present research can be characterized as finding adhoc methods that can produce subjectively interesting results. In this paper, it is argued that a stronger overall research plan is needed if the field is to develop in the longer term and attract more researchers. Five open problems are defined and explained as broad principle areas of investigation for evolutionary music and art. Each problem is explained and the impetus and background for it is described in the context of creative evolutionary systems.",
• notes = "Brief mention of evolutionary programming and tree and graph genomes. Cited by \cite{Loughran:GPEM20}

  EvoWorkshops2005",

}

Genetic Programming entries for Jon McCormack

Citations