Cognitive Informatics and Computational Intelligence: From Information Revolution to Intelligence Revolution

Cognitive Informatics and Computational Intelligence: From Information Revolution to Intelligence Revolution

Yingxu Wang (University of Calgary, Canada), Edmund T. Rolls (Oxford Centre for Computational Neuroscience, UK & University of Warwick, UK), Newton Howard (Massachusetts Institute of Technology, USA), Victor Raskin (Purdue University, USA), Witold Kinsner (University of Manitoba, Canada), Fionn Murtagh (University of Derby, UK, & Goldsmiths, University of London, UK), Virendrakumar C. Bhavsar (University of New Brunswick, Canada), Shushma Patel (London South Bank University, UK), Dilip Patel (London South Bank University, UK) and Duane F. Shell (University of Nebraska-Lincoln, USA)
Copyright: © 2018 |Pages: 18
DOI: 10.4018/978-1-5225-5643-5.ch010
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Abstract

Cognitive Informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. Cognitive Computing (CC) is a novel paradigm of intelligent computing methodologies and systems based on CI that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This paper reports a set of position statements presented in the plenary panel of IEEE ICCI*CC'14 on Cognitive Informatics and Cognitive Computing. The summary is contributed by invited panelists who are part of the world's renowned researchers and scholars in the transdisciplinary field of cognitive informatics and cognitive computing.
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1. Introduction

Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing [Wang, 2002a, 2003, 2006, 2007b, 2007c, 2007d, 2009a, 2009b, 2012c, 2012d, 2012f, 2014, 2015; Wang et al., 2011c, 2013; Wang and Wang, 2006; Wang and Berwick, 2012b; Wang et al., 2009b, 2009c, 2010, 2011b].

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