Temporal patterns in artificial reaction networks

Authors:
Claire Gerrard;John McCall;George M. Coghill;Christopher Macleod
Affiliations:
Ideas Institute, The Robert Gordon University, Aberdeen, Scotland, UK;Ideas Institute, The Robert Gordon University, Aberdeen, Scotland, UK;The Department of Computing, University of Aberdeen, Scotland, UK;School of Engineering, The Robert Gordon University, Aberdeen, Scotland, UK
Venue:
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Year:
2012

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Abstract

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.