Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering

Journal article


Patel, S. (2017). Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering. International Journal of Cognitive Informatics and Natural Intelligence. 11 (1), pp. 1-15.
AuthorsPatel, S.
Abstract

Basic studies in denotational mathematics and mathematical engineering have led to the theory of abstract intelligence (aI), which is a set of mathematical models of natural and computational intelligence in cognitive informatics (CI) and cognitive computing (CC). Abstract intelligence triggers the recent breakthroughs in cognitive systems such as cognitive computers, cognitive robots, cognitive neural networks, and cognitive learning. This paper reports a set of position statements presented in the plenary panel (Part II) of IEEE ICCI*CC’16 on Cognitive Informatics and Cognitive Computing at Stanford University. The summary is contributed by invited panelists who are part of the world’s renowned scholars in the transdisciplinary field of CI and CC.

KeywordsAbstract Intelligence; Artificial Intelligence,; Brain-Inspired Systems,; Cognitive Computers; Cognitive Engineering; Cognitive Informatics; Cognitive Systems; Computational Intelligence; 0801 Artificial Intelligence And Image Processing; 1702 Cognitive Science
Year2017
JournalInternational Journal of Cognitive Informatics and Natural Intelligence
Journal citation11 (1), pp. 1-15
PublisherIGI Global
ISSN1557-3958
Digital Object Identifier (DOI)doi:10.4018/IJCINI.2017010101
Publication dates
Print01 Jan 2017
Publication process dates
Deposited23 Mar 2018
Accepted29 Dec 2016
Accepted author manuscript
License
CC BY 4.0
File Access Level
Open
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