Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering

Yingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto, Wei Wei and Du Zhang
Additional contact information
Yingxu Wang: International Institute of Cognitive Informatics and Cognitive Computing (ICIC), University of Calgary, Calgary, Canada
Lotfi A. Zadeh: UC Berkeley, Berkeley, CA, USA
Bernard Widrow: Stanford University, Stanford, CA, USA
Newton Howard: University of Oxford, Oxford, UK
Françoise Beaufays: Google, Mountain View, CA, USA
George Baciu: GAMA Lab, Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong
D. Frank Hsu: Fordham University, New York City, NY, USA
Guiming Luo: School of Software, Tsinghua University, Beijing, China
Fumio Mizoguchi: Tokyo University of Science, Tokyo, Japan
Shushma Patel: Faculty of Business, London South Bank University, London, UK
Victor Raskin: LING/CERIAS/CS/CIT, Purdue University, West Lafayette, IN, USA
Shusaku Tsumoto: Department of Medical Informatics, Faculty of Medicine, Shimane University, Matsue, Japan
Wei Wei: Stanford University, Stanford, CA, USA
Du Zhang: Macau University of Science and Technology, Taipa, Macau

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2017, vol. 11, issue 1, 1-15

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.

Date: 2017
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