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Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems
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Author(s): Yingxu Wang (International Institute of Cognitive Informatics and Cognitive Computing (ICIC), University of Calgary, Calgary, Canada), Victor Raskin (LING/CERIAS/CS/CIT, Purdue University, West Lafayette, USA), Julia M. Rayz (Purdue University, West Lafayette, USA), George Baciu (GAMA Lab, Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong), Aladdin Ayesh (De Montfort University, Leicester, UK), Fumio Mizoguchi (Tokyo University of Science, Shinjuku, Japan), Shusaku Tsumoto (University of Shimane, Matsue, Japan), Dilip Patel (Faculty of Business, London South Bank University, London, UK)and Newton Howard (University of Oxford, Oxford, UK)
Copyright: 2020
Pages: 15
Source title:
Cognitive Analytics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-2460-2.ch004
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Abstract
Cognitive Computing (CC) is a contemporary field of studies on intelligent computing methodologies and brain-inspired mechanisms of cognitive systems, cognitive machine learning and cognitive robotics. The IEEE conference ICCI*CC'17 on Cognitive Informatics and Cognitive Computing was focused on the theme of neurocomputation, cognitive machine learning and brain-inspired systems. This article reports the plenary panel (Part II) in IEEE ICCI*CC'17 at Oxford University. The summary is contributed by distinguished panelists who are part of the world's renowned scholars in the transdisciplinary field of cognitive computing.
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