Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering
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.
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.
|Keywords||Abstract 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|
|Journal||International Journal of Cognitive Informatics and Natural Intelligence|
|Journal citation||11 (1), pp. 1-15|
|Digital Object Identifier (DOI)||doi:10.4018/IJCINI.2017010101|
|01 Jan 2017|
|Publication process dates|
|Deposited||23 Mar 2018|
|Accepted||29 Dec 2016|
|Accepted author manuscript|
CC BY 4.0
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