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.
Original language | English |
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Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | International Journal of Cognitive Informatics and Natural Intelligence |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2017 |
Keywords
- Abstract intelligence
- Applications
- Artificial intelligence
- Brain-inspired systems
- Cognitive computers
- Cognitive engineering
- Cognitive informatics
- Cognitive robotics
- Cognitive systems
- Computational intelligence
- Denotational mathematics
- Mathematical engineering
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Artificial Intelligence