Temporal patterns in artificial reaction networks.
Gerrard, Claire E.
Coghill, George M.
MetadataShow full item record
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.
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.