Abstract
A great deal of research effort is being directed towards the processing involved in Neural Networks, but relatively little attention is being given to the way information is represented in Neural Networks. This paper outlines a methodology for encoding the cognitive and syntatic bases of all natural languages, referred to as the Cognitive Modalities (“CM”) system of knowledge representation. The application of this system in the automatic translation of text and in information retrieval is described. It is suggested that a similiar system of knowledge representation must be used in the brain and that such a representation has analogies with the DNA molecule and that processes similiar to those of genetic evolution may be involved in creative intelligence. This leads to an attempt to define what is meant by an intelligent system, and how such intelligence might be measured.
The paper is based on the text of a talk given at the NCM’91 meeting which, being the last of the day, was intended to be entertaining, easy to assimilate, and thought provoking.
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© 1992 Springer-Verlag London Limited
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Wright, R.E. (1992). The Cognitive Modalities (“CM”) System of Knowledge Representation — the “DNA” of Neural Networks?. In: Taylor, J.G. (eds) Neural Network Applications. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-2003-2_12
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DOI: https://doi.org/10.1007/978-1-4471-2003-2_12
Publisher Name: Springer, London
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