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Temporal patterns in artificial reaction networks.

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


Claire Gerrard

George M. Coghill

Christopher Macleod


Alessandro E.P. Villa

W?odzis?aw Duch

P�ter �rdi

Francesco Masulli

G�nther Palm


The Artificial Reaction Network (ARN) is a bio-inspired connectionist paradigm based on the emerging field of Cellular Intelligence. It has properties in common with both AI and Systems Biology techniques including Artificial Neural Networks, Petri Nets, and S-Systems. This paper discusses the temporal aspects of the ARN model using robotic gaits as an example and compares it with properties of Artificial Neural Networks. The comparison shows that the ARN based network has similar functionality.


GERRARD, C., MCCALL, J., COGHILL, G.M. and MACLEOD, C. 2012. Temporal patterns in artificial reaction networks. In Villa, A.E.P., Duch, W., Érdi, P., Masulli, F. and Palm, G. (eds.) Artificial neural networks and machine learning: proceedings of the 22nd International conference on artificial neural networks (ICANN 2012), 11-14 September 2012, Lausanne, Switzerland. Lecture notes in computer science, 7552. Berlin: Springer [online], part I, pages 1-8. Available from:

Conference Name 22nd International conference on artificial neural networks (ICANN 2012)
Conference Location Lausanne, Switzerland
Start Date Sep 11, 2012
End Date Sep 14, 2012
Acceptance Date Sep 30, 2012
Online Publication Date Sep 30, 2012
Publication Date Sep 30, 2012
Deposit Date Sep 26, 2012
Publicly Available Date Sep 26, 2012
Publisher Springer
Pages 1-8
Series Title Lecture notes in computer science
Series Number 7552
ISBN 9783642332654
Keywords Artificial neural networks; Artificial reaction networks; Cellular intelligence; Biochemical networks
Public URL


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