A Fitness Function for Creativity in Jazz Improvisation and Beyond

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Anna Jordanous: A Fitness Function for Creativity in Jazz Improvisation and Beyond. In: Computational Creativity 2010 ICCC 2010. 223-227.



Can a computer evolve creative entities based on how cre- ative they are? Taking the domain of jazz improvisation, this ongoing work investigates how creativity can be evolved and evaluated by a com- putational system. The aim is for the system to work with minimal hu- man assistance, as autonomously as possible. The system employs a ge- netic algorithm to evolve musical parameters for algorithmic jazz music improvisation. For each set of parameters, several improvisations are gen- erated. The fitness function of the genetic algorithm implements a set of criteria for creativity proposed by Graeme Ritchie. The evolution of the improvisation parameters is directed by the creativity demonstrated in the generated improvisations. From preliminary findings, whilst Ritchie’s criteria does guide the system towards producing more acceptably pleas- ing and typical jazz music, the criteria (in their current form) rely too heavily on human intervention to be practically useful for computational evaluation of creativity. In pursuing more autonomous creativity assess- ment, however, this system is a promising testbed for examining alterna- tive theories about how creativity could be evaluated computationally.

Extended Abstract


author = {Anna Jordanous},
title = {A Fitness Function for Creativity in Jazz Improvisation and Beyond},
editor = {Dan Ventura, Alison Pease, Rafael P ́erez y P ́erez, Graeme Ritchie and Tony Veale},
booktitle = {Proceedings of the First International Conference on Computational Creativity},
series = {ICCC2010},
year = {2010},
month = {January},
location = {Lisbon, Portugal},
pages = {223-227},
url = {http://computationalcreativity.net/iccc2010/papers/jordanous-1.pdf, http://de.evo-art.org/index.php?title=A_Fitness_Function_for_Creativity_in_Jazz_Improvisation_and_Beyond },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},

Used References

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