OpenAIR OpenAIR
 
 

OpenAIR @ RGU >
Design and Technology >
Computing >
Conference publications (Computing) >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10059/669
This item has been viewed 196 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
Gerrard Artificial Reaction Networks.pdf525.02 kBAdobe PDFView/Open
Title: Artificial Reaction Networks.
Authors: Gerrard, Claire E.
McCall, John
Coghill, George M.
MacLeod, Christopher
Issue Date: 20-Sep-2011
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.
Appears in Collections:Conference publications (Computing)

All items in OpenAIR are protected by copyright, with all rights reserved.

 

 
   Disclaimer | Freedom of Information | Privacy Statement |Copyright ©2012 Robert Gordon University, Schoolhill, Aberdeen, AB10 1FR, Scotland, UK: a Scottish charity, registration No. SCO13781