Exploring aspects of cell intelligence with artificial reaction networks.

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

Abstract

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.

Citation

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: https://doi.org/10.1007/s00500-013-1174-8

• 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
• DOI: https://doi.org/10.1007/s00500-013-1174-8
• Keywords: Artificial biochemical network (ABN); Artificial chemistry; Artificial neural network (ANN)
• Public URL: http://hdl.handle.net/10059/1140
• Contract Date: Feb 4, 2015