Skip to main content

Research Repository

Advanced Search

Exploring aspects of cell intelligence with artificial reaction networks.

Gerrard, Claire E.; McCall, John; Coghill, George M.; Macleod, Christopher


Claire E. Gerrard

George M. Coghill

Christopher Macleod


The Artificial Reaction Network (ARN) is a Cell Signalling Network inspired connectionist representation belonging to the branch of A-Life known as Artificial Chemistry. Its purpose is to represent chemical circuitry and to explore computational properties responsible for generating emergent high-level behaviour associated with cells. In this paper, the computational mechanisms involved in pattern recognition and spatio-temporal pattern generation are examined in robotic control tasks. The results show that the ARN has application in limbed robotic control and computational functionality in common with Artificial Neural Networks. Like spiking neural models, the ARN can combine pattern recognition and complex temporal control functionality in a single network, however it offers increased flexibility. Furthermore, the results illustrate parallels between emergent neural and cell intelligence.


GERRARD, C. E., MCCALL, J., COGHILL, G. M. and MACLEOD, C. 2014. Exploring aspects of cell intelligence with artificial reaction networks. Soft computing [online], 18(10), pages 1899-1912. Available from:

Journal Article Type Article
Acceptance Date Nov 20, 2013
Online Publication Date Nov 20, 2013
Publication Date Oct 31, 2014
Deposit Date Feb 4, 2015
Publicly Available Date Feb 4, 2015
Journal Soft computing
Print ISSN 1432-7643
Electronic ISSN 1433-7479
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 18
Issue 10
Pages 1899-1912
Keywords Artificial biochemical network (ABN); Artificial chemistry; Artificial neural network (ANN)
Public URL


You might also like

Downloadable Citations