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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Temporal Patterns in Artificial Reaction Networks
verfasst von : Claire Gerrard, John McCall, George M. Coghill, Christopher Macleod
Erschienen in: Artificial Neural Networks and Machine Learning – ICANN 2012
Verlag: Springer Berlin Heidelberg
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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.