Exploring Dynamic Form Dance, Patterns with

Artificial Neural Networks

Kok-Kong Kuan

Brunel University

Osterley Campus, Lancaster House

Borough Road, Isleworth, Middx TW7 5DU, U.K.

e-mail: k.k.kuan@brunel.ac.uk

Stephen Cockett

Brunel University

Osterley Campus Lancaster House

Borough Road, Isleworth, Middx TW7 5DU, U.K.

e-mail: Stephen.Cockett@brunel.ac.uk

"The most perfect actions echo the patterns found in nature"

Morishei Ueshiba

Abstract

Applications of artificial intelligence and other new computing technologies have hitherto been focused on engineering, scientific and business fields. This paper describes the novel application of the latest computing technologies to the often neglected arts field, in particular, dynamic form dance performance. Dynamic form dance performance can be seen as a creative search for patterns of harmony which are not fixed but continuously remapped as the performance dynamically organises itself. This paper discusses the use of artificial neural networks to explore/generate patterns of harmony in the evolution of dynamic form in movement-based dance. The framework of the tool being developed is presented and discussed.

Keywords: artificial neural networks, artificial intelligence, intelligent hybrid systems,

dynamic form dance, performing arts.