The artificial epigenetic network

Author

Turner, Alexander P. ; Lones, Michael A. ; Fuente, Luis A. ; Stepney, Susan ; Caves, Leo S. D. ; Tyrrell, A.

Author_Institution

Dept. of Electron., Univ. of York, York, UK

fYear

2013

fDate

16-19 April 2013

Firstpage

66

Lastpage

72

Abstract

In this paper we describe an Artificial Gene Regulatory Network (AGRN), whose form and function are inspired by biological epigenetics. This new architecture, termed an Artificial Epigenetic Network (AEN), is applied to the coupled inverted pendulum task, a control task that has complex non-linear dynamics. The AENs show significant benefits over previous AGRNs. Firstly, when applied to the coupled inverted pendulum task, they show a significant performance increase. In addition, the AENs self-partition, applying different genes to control different dynamics within the task, which is more analogous to gene regulation in nature. These networks also make it possible to gain user control over the dynamics of the network via the modification of the epigenetic layer.

Keywords

genetic algorithms; nonlinear control systems; nonlinear dynamical systems; pendulums; AEN; AGRN; artificial epigenetic network; artificial gene regulatory network; biological epigenetics; complex nonlinear dynamics; coupled inverted pendulum task; gene regulation; network dynamics; user control; Biological information theory; Conferences; DNA; Educational institutions; Gene expression; Organisms;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolvable Systems (ICES), 2013 IEEE International Conference on

Conference_Location

Singapore

Type

conf

DOI

10.1109/ICES.2013.6613284

Filename

6613284