Grammatical Evolution and Creativity

author = "Roisin Loughran",

title = "Grammatical Evolution and Creativity",

booktitle = "Handbook of Grammatical Evolution",

publisher = "Springer",

year = "2018",

editor = "Conor Ryan and Michael O'Neill and J. J. Collins",

chapter = "14",

pages = "341--366",

keywords = "genetic algorithms, genetic programming, Grammatical Evolution",

isbn13 = "978-3-319-78716-9",

DOI = "

doi:10.1007/978-3-319-78717-6_14",

abstract = "This paper considers the application of Grammatical Evolution (GE) to the concept of creativity both in theory and through the examination of two applied music generation systems. We discuss previous work on the application of evolutionary strategies to music generation and discuss current issues in the study of creativity and Computational Creativity (CC). In presenting and contrasting the development of two GE music generation systems, we can consider the multi-faceted aspects of creativity and how it may be approached from a computational perspective. The design of any such system is dependent on representation (what is music?) and fitness measure (what makes this music good?). In any aesthetic domain such questions are far from trivial. We conclude that it is vitally important to be clear on the purpose and aim in proposing any such system; systems may be either more generative or more autonomously creative if this is the a priori goal of the proposed experiment. Furthermore, we propose that evolutionary systems, and in particular GE, are highly suitable to the study of creativity as they can offer much scope in representation through grammars while allowing exploration and the possibility of self-adaptivity through the development of novel self-referential fitness measures.",

notes = "Part of \cite{Ryan:2018:hbge}",