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Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation
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Author(s): 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)and Bernard Widrow (Stanford University, Stanford, CA, USA)
Copyright: 2018
Volume: 12
Issue: 1
Pages: 13
Source title:
International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)
Editor(s)-in-Chief: Kangshun Li (South China Agricultural University, China)
DOI: 10.4018/IJCINI.2018010101
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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.
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