Complex Fuzzy Abstraction: The Brain Logic

Artificial Intelligence

Nonfiction, Computers, Advanced Computing, Engineering, Computer Engineering, Computer Science
Cover of the book Complex Fuzzy Abstraction: The Brain Logic by Subhajit Ganguly, Tech Reads
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Author: Subhajit Ganguly ISBN: 9781507009673
Publisher: Tech Reads Publication: December 21, 2014
Imprint: Language: English
Author: Subhajit Ganguly
ISBN: 9781507009673
Publisher: Tech Reads
Publication: December 21, 2014
Imprint:
Language: English

Taking abstraction as the starting point, we build a complex, self-organizing fuzzy logic system. Such a system, being built on top of abstraction as the base, turns out to be just a special outcome of the laws of abstraction. As the system is self-organizing, it runs automatically towards optimization. Using such a system in neural networks, we may come as close as possible to the workings of the human brain. The abstract fuzzy optimization is seen to follow a Gaussian distribution.

Natural processes are vastly emergent phenomena and each new result is always the source of new emergence. To cope with nonlinear control problems, binary logic is no longer sufficient. What we need is an ideal Fuzzy Logic that not only can process complex numbers with utmost efficiency, but also ‘thinks’ in terms of complex numbers. Such a system also needs to be as simple as possible for us and for machines to work with.

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Taking abstraction as the starting point, we build a complex, self-organizing fuzzy logic system. Such a system, being built on top of abstraction as the base, turns out to be just a special outcome of the laws of abstraction. As the system is self-organizing, it runs automatically towards optimization. Using such a system in neural networks, we may come as close as possible to the workings of the human brain. The abstract fuzzy optimization is seen to follow a Gaussian distribution.

Natural processes are vastly emergent phenomena and each new result is always the source of new emergence. To cope with nonlinear control problems, binary logic is no longer sufficient. What we need is an ideal Fuzzy Logic that not only can process complex numbers with utmost efficiency, but also ‘thinks’ in terms of complex numbers. Such a system also needs to be as simple as possible for us and for machines to work with.

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