Algorithmic Composition

Abstract

The writing and editing of this book presents a large effort on many people and institutions who I want to express my gratitude to. Without their help, this work would not have been completed.First, I wish to thank the Austrian Science Fund (FWF), the Styrian Provincial Government's Science and Research Department, the City of Graz Department of Cultural Affairs and the Society for the Promotion of Electronic Music and Acoustics (GesFEMA) for their generous financial support.My sincere thanks to Ilona Leimisch, who translated the book into English, for her efforts and patience during our collaboration.In particular I am grateful for the help of the former head of the Institute of Electronic Music and Acoustics Graz (IEM) at the University of Music and Dramatic Arts Graz, Robert Höldrich, who contributed valuable advice. I also wish to thank several people who have provided their kind assistance with proofreading. These include the present head of the IEM, Gerhard Eckel, as well as Alberto de Campo, Markus Noisternig, Alois Sontacchi and Camilla Leimisch, who also helped editing the book.Many institutions and publishers have given generous support concerning the illustrative material. I would particularly like to name and thank (in alphabetical order) A-R editions,

Coevolution Theory of the Genetic Code at Age Forty: Pathway to Translation and Synthetic Life

“…Thus, bacterial and eukaryotic cells equipped with LepA could be more tolerant of internal milieu variations and therefore more adaptive to changing environments compared to archaeons. To cope with internal milieu variations, however, codon-anticodon pairing strengths might have to be fine-tuned for individual codons, leading to the varied anticodon combinations employed by Bacteria and Eukarya for different codon boxes in contrast to the much more uniform anticodon combinations employed by Archaea [ 174 ]. The parting of the bacterial and eukaryotic lineages from the archaeal lineage may therefore be viewed as a divergence between adventurist and conservative strategies in anticodon usage.…”

JamSketch: Improvisation Support System with GA-Based Melody Creation from User’s Drawing

“…Various techniques have been proposed to generate melodies [12]. Some techniques use the genetic algorithm, emphasizing the similarity of the procedure of the genetic algorithm to a traditional composition process.…”

Linking Sonic Aesthetics with Mathematical Theories

“…Markov models, which assign probabilities to events and their transitions, and artificial intelligence systems (such as Petri nets), which are also based on transition rules, are commonly used to emulate established musical styles (Loy 2006;Nierhaus 2009). This can be achieved through statistical analyses of existing musical practice, and applying those insights to the probabilities and/or rules in the model.…”