Patterns of Intuition

The present book is the result of a three year research project which investigated the creative act of composing by means of algorithmic composition. Central to the investigation are the compositional strategies of 12 composers, which were documented through a dialogic and cyclic process of modelling and evaluating musical materials. The aesthetic premises and compositional approaches configure a rich spectrum of diverse positions, which is reflected also in the kinds of approaches and methods used. These approaches and methods include the generation and evaluation of chord sequences using genetic algorithms, the application of morphing strategies to research harmonic transformations, an automatic classification of personal preferences via machine learning, and an application of mathematical music theory to the analysis and resynthesis of musical material. The second part of the book features contributions by Sandeep Bhagwati, William Brooks, David Cope, Darla Crispin, Nicolas Donin, and Guerino Mazzola. These authors variously consider the project from different perspectives, offer independent approaches, or provide more general reflections from their respective research fields.

Provides new insights into musical intuition and its possible formalization Demonstrates which algorithms and paradigms of algorithmic composition are suitable for applications in contemporary composition Examples of current mathematical approaches to the compositional process are demonstrated Includes supplementary material: sn.pub/extras

Inhalt
Outline of the compositional structure(s) to be investigated.- The algorithms/procedures used.- Findings.- Improvisation in Trees.- Electronic Music for an Acoustic Piano.- Forbidden Melodies.- The Semantics of a String Quartet.- Comments from renowned scientists from related research areas of Algorithmic Composition, Musicology, Artistic Research, Creativity.