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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Computer Science

Cover of the book Brandishing Cyberattack Capabilities by Subhajit Ganguly
Cover of the book Formen der Kollaboration in einem MMORPG am Beispiel World of Warcraft by Subhajit Ganguly
Cover of the book Cross-Cultural Computing: An Artist's Journey by Subhajit Ganguly
Cover of the book Insider Threats by Subhajit Ganguly
Cover of the book Complex Digital Circuits by Subhajit Ganguly
Cover of the book Natural Computing for Simulation and Knowledge Discovery by Subhajit Ganguly
Cover of the book Turing (A Novel about Computation) by Subhajit Ganguly
Cover of the book Proceedings of the Second European Conference on Computer-Supported Cooperative Work by Subhajit Ganguly
Cover of the book Formal Methods: Foundations and Applications by Subhajit Ganguly
Cover of the book Frontiers in Computational and Systems Biology by Subhajit Ganguly
Cover of the book Smart Cities of Today and Tomorrow by Subhajit Ganguly
Cover of the book Parallelism in Matrix Computations by Subhajit Ganguly
Cover of the book Numerical Mathematics and Advanced Applications ENUMATH 2017 by Subhajit Ganguly
Cover of the book Learning Ext JS 4 by Subhajit Ganguly
Cover of the book Pivot Tables in Excel: business analysis and performance by Subhajit Ganguly
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy