Music evolution in a complex system of interacting agents

Author

Gong, Tao ; Zhang, Qian ; Wu, Hua

Author_Institution

Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hongkong, China

Volume

2

fYear

2005

fDate

2-5 Sept. 2005

Firstpage

1111

Abstract

The evolution of music, from random note strings to certain "pleasant" note sequences, is traced in a multi-agent computational model. A community of agents, with some musical guidelines and expertise from different aspects, compose their own and criticize other\´s music to improve individual music performance. Based on common musical interest, some social structure with small world characteristics is formed up. Through adopting general rule-based system and some evolutionary mechanisms, this model introduces a realistic communication scenario and shows an optimization process following local information. It provides an instructive computational framework to study music as well as other cultural phenomena, such as language.

Keywords

evolutionary computation; knowledge based systems; multi-agent systems; music; optimisation; agent community; complex system; evolutionary mechanism; interacting agents; multiagent computational model; music evolution; musical guidelines; optimization; pleasant note sequences; random note strings; rule-based system; Automation; Computational modeling; Cultural differences; Frequency; Global communication; Guidelines; Humans; Multiple signal classification; Music; Psychology;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2005. The 2005 IEEE Congress on

Print_ISBN

0-7803-9363-5

Type

conf

DOI

10.1109/CEC.2005.1554815

Filename

1554815