Artificial BioChemical Networks

Author

Capanni, Niccolo ; MacLeod, Christopher ; Maxwell, Grant ; Clayton, William

Author_Institution

Sch. of Comput., Robert Gordon Univ., Aberdeen

Volume

2

fYear

2005

fDate

28-30 Nov. 2005

Firstpage

98

Lastpage

102

Abstract

Connectionist approaches to artificial intelligence are almost always based on artificial neural networks. However, there is another route towards parallel distributed processing, taking as its inspiration the intelligence displayed by single celled creatures called protoctists (protists). This is based on networks of interacting proteins. Such networks may be used in pattern recognition and control tasks and are more flexible than most neuron models. In this paper they are demonstrated in image recognition applications and in legged robot control. They are trained using a genetic algorithm and back propagation

Keywords

backpropagation; biochemistry; biocomputing; cellular biophysics; parallel processing; proteins; zoology; artificial biochemical network; artificial neural network; back propagation; control task; genetic algorithm; image recognition application; legged robot control; parallel distributed processing; pattern recognition; protein interaction network; protist; protoctist; Artificial intelligence; Artificial neural networks; Distributed processing; Genetic algorithms; Image recognition; Intelligent robots; Neurons; Pattern recognition; Proteins; Robot control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Vienna

Print_ISBN

0-7695-2504-0

Type

conf

DOI

10.1109/CIMCA.2005.1631452

Filename

1631452