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 |
|---|---|
| Pages (from-to) | 1-15 |
| Journal | International Journal of Cognitive Informatics and Natural Intelligence |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
| Externally published | Yes |
Keywords
- Artificial Intelligence,
- Cognitive Computers
- Brain-Inspired Systems,
- 1702 Cognitive Science
- Cognitive Informatics
- Computational Intelligence
- Cognitive Systems
- 0801 Artificial Intelligence And Image Processing
- Abstract Intelligence
- Cognitive Engineering