Artificial reaction networks.

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

Abstract

In this paper we present a novel method of simulating cellular intelligence, the Artificial Reaction Network (ARN). The ARN can be described as a modular S-System, with some properties in common with other Systems Biology and AI techniques, including Random Boolean Networks, Petri Nets, Artificial Biochemical Networks and Artificial Neural Networks. We validate the ARN against standard biological data, and successfully apply it to simulate cellular intelligence associated with the well-characterized cell signaling network of Escherichia coli chemotaxis. Finally, we explore the adaptability of the ARN, as a means to develop novel AI techniques, by successfully applying the simulated E. coli chemotaxis to a general optimization problem.

Citation

GERRARD, C.E., MCCALL, J., COGHILL, G.M. and MACLEOD, C. 2011. Artificial reaction networks. Presented at the 11th UK workshop on computational intelligence (UKCI 2011), 7-9 September 2011, Manchester, UK.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: 11th UK workshop on computational intelligence (UKCI 2011)
• Start Date: Sep 7, 2011
• End Date: Sep 9, 2011
• Deposit Date: Sep 20, 2011
• Publicly Available Date: Sep 20, 2011
• Peer Reviewed: Peer Reviewed
• Public URL: http://hdl.handle.net/10059/669
• Contract Date: Sep 20, 2011