Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation

Yingxu Wang, Newton Howard, Janusz Kacprzyk, Ophir Frieder, Phillip Sheu, Rodolfo A. Fiorini, Marina L. Gavrilova, Shushma Patel, Jun Peng and Bernard Widrow
Additional contact information
Yingxu Wang: International Institute of Cognitive Informatics and Cognitive Computing (ICIC), University of Calgary, Calgary, Canada
Newton Howard: University of Oxford, Oxford, UK
Janusz Kacprzyk: Polish Academy of Sciences, Warsaw, Poland
Ophir Frieder: Georgetown University, Washington, DC, USA
Phillip Sheu: University of California, Irvine, CA, USA
Rodolfo A. Fiorini: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano University, Milano, Italy
Marina L. Gavrilova: Department of Computer Science, University of Calgary, Calgary, Canada
Shushma Patel: Faculty of Business, London South Bank University, London, UK
Jun Peng: Chongqing University of Science and Technology, Chongqing, China
Bernard Widrow: Stanford University, Stanford, CA, USA

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2018, vol. 12, issue 1, 1-13

Abstract: Cognitive Informatics (CI) is a contemporary field of basic studies on the brain, computational intelligence theories and underpinning denotational mathematics. Its applications include cognitive systems, cognitive computing, cognitive machine learning and cognitive robotics. IEEE ICCI*CC'17 on Cognitive Informatics and Cognitive Computing was focused on the theme of neurocomputation, cognitive machine learning and brain-inspired systems. This paper reports the plenary panel (Part I) at IEEE ICCI*CC'17 held at Oxford University. The summary is contributed by invited keynote speakers and distinguished panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and cognitive computing.

Date: 2018
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