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Artificial biochemical networks: a different connectionist paradigm.

MacLeod, Christopher; Capanni, Niccolo F.

Authors

Christopher MacLeod

Niccolo F. Capanni



Abstract

Connectionist models are usually based on artificial neural networks. However, there is another route towards parallel distributed processing. This is by considering the origins of the intelligence displayed by the single celled organisms known as protoctists. Such intelligence arises by means of the biochemical interactions within the animal. An artificial model of this might therefore be termed an artificial biochemical network or ABN. This paper describes the attributes of such networks and illustrates their abilities in pattern recognition problems and in generating time-varying signals of a type which can be used in many control tasks. The flexibility of the system is explained using legged robots as an example. The networks are trained using back propagation and evolutionary algorithms such as genetic algorithms.

Citation

MACLEOD, C. and CAPANNI, N.F. 2010. Artificial biochemical networks: a different connectionist paradigm. Artificial intelligence review [online], 33(1-2), pages 123-134. Available from: https://doi.org/10.1007/s10462-009-9149-y

Journal Article Type Article
Acceptance Date Nov 18, 2009
Online Publication Date Nov 18, 2009
Publication Date Feb 28, 2010
Deposit Date Jan 29, 2010
Publicly Available Date Jan 29, 2010
Journal Artificial intelligence review
Print ISSN 0269-2821
Electronic ISSN 1573-7462
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 33
Issue 1-2
Pages 123-134
DOI https://doi.org/10.1007/s10462-009-9149-y
Keywords Artificial neural network; Protozoa; Evolutionary algorithm; Connectionism; Biochemistry; Protein; Robot; Pattern recognition
Public URL http://hdl.handle.net/10059/455

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