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Proceedings Paper

Cognitive information and neural computing systems
Author(s): Madan M. Gupta
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Paper Abstract

Over the last decade or so, several parallel advances have been made in the two distinct disciplines: the fuzzy logicand the neural networks. As the names imply, the fuzzy logic provides a mathematical strength to the emulation of certain perceptual and linguistics attributes associated with the human cognition, whereas the science of neural networks provides new computing morphologies with learning and adaptive capabilities. A marriage between these two distinct disciplines have the potential of producing off-springs with the capabilities of generating a new discipline -the virtual intelligence (VI) with a new generation of computing systems - the virtual cognitive systems (VCS). Such a virtual cognitive systems will, hopefully, recapture certain aspects of human cognition. An integration of these two fields: the fields of neural networks and fuzzy logic has a potential of producing robust sensors and robust control mechanisms. In this paper, we briefly explore the possibilities of such a new system -the virtual cognitive systems, in the service of humanity.

Paper Details

Date Published: 18 January 1993
PDF: 7 pages
Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); doi: 10.1117/12.138500
Show Author Affiliations
Madan M. Gupta, Univ. of Saskatchewan (Canada)


Published in SPIE Proceedings Vol. 1713:
International Conference on Manufacturing Automation
Anand Krishna Asundi; S. T. Tan, Editor(s)

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