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Gerrard ICANN 2012 Artificial Reaction Networks.pdf818.01 kBAdobe PDFView/Open
Title: Temporal patterns in artificial reaction networks.
Authors: Gerrard, Claire E.
McCall, John
Coghill, George M.
MacLeod, Christopher
Keywords: Artificial neural networks
Artificial reaction networks
Cellular intelligence
Biochemical networks
Issue Date: Sep-2012
Publisher: Springer Verlag.
Citation: GERRARD, C., MCCALL, J., COGHILL, G. M. and MACLEOD, C., 2012. Temporal patterns in artificial reaction networks. In: A. E. P. VILLA et al (eds.) Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd Annual Conference on Artificial Neural Networks. 11-14 September 2012. Berlin: Springer. Pp. 1-8.
Abstract: The Artificial Reaction Network (ARN) is a bio-inspired connection-ist paradigm based on the emerging field of Cellular Intelligence. It has proper-ties in common with both AI and Systems Biology techniques including Artifi-cial Neural Networks, Petri Nets, and S-Systems. This paper discusses the tem-poral aspects of the ARN model using robotic gaits as an example and com-pares it with properties of Artificial Neural Networks. The comparison shows that the ARN based network has similar functionality.
ISBN: 9783642332654
Appears in Collections:Conference publications (Computing)

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