Perspectives on eBrain and Cognitive Computing

Perspectives on eBrain and Cognitive Computing

Yingxu Wang (Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada), James A. Anderson (Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI, USA), George Baciu (Department of Computing, Hong Kong Polytechnic University, Hong Kong, Hong Kong), Gerhard Budin (Center for Translation Studies, Vienna University, Vienna, Austria), D. Frank Hsu (Department of Computer & Information Sciences, Fordham University, New York, NY, USA), Mitsuru Ishizuka (Department of Creative Informatics & Department of Information and Communication Engineering, Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan), Witold Kinsner (Department of Electrical & Computer Engineering, University of Manitoba, Winnipeg, MB, Canada), Fumio Mizoguchi (Tokyo University of Science, Tokyo, Japan), Toyoaki Nishida (Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan), Kenji Sugawara (Department of Information and Network Science, Faculty of Computer and Network Science, Chiba Institute of Technology, Narashino, Chiba, Japan), Shusaku Tsumoto (Department of Medical Informatics, Faculty of Medicine, Shimane University, Izumo City, Japan) and Du Zhang (Department of Computer Science, College of Engineering and Computer Science, California State University-Sacramento, Sacramento, CA, USA)
DOI: 10.4018/jcini.2012100101
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

Cognitive Informatics (CI) is a discipline spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, and cognitive linguistics. CI aims to investigate the internal information processing mechanisms and processes of the brain, the underlying abstract intelligence theories and denotational mathematics, and their engineering applications in cognitive computing and computational intelligence. This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC’12 on eBrain and Cognitive Computers contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.
Article Preview

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; Wang & Kinsner, 2006; Wang & Wang, 2006; Wang, Kinsner, & Zhang, 2009; Wang & Berwick, 2012; Wang, Kinsner, et al., 2009; Wang et al., 2010; Wang, Widrow, et al., 2011).

Fundamental theories developed in CI cover the Matter-Energy-Information-Intelligence (MEII) model (Wang, 2007a, 2007b), the Layered Reference Model of the Brain (LRMB) (Wang et al., 2006), the Object-Attribute-Relation (OAR) model of internal information representation in the brain (Wang, 2007c), the Cognitive Functional Model of the Brain (CFMB) (Wang & Wang, 2006), the Abstract Intelligence Model of the Brain (AIMB), Natural Intelligence (Wang, 2007b), Abstract Intelligence (Wang, 2009a, 2012c), Neuroinformatics (Wang, 2007b; Wang & Fariello, 2012), Denotational Mathematics (Wang, 2002b, 2007a, 2008a, 2008b, 2008c, 2008d, 2009d, 2011a, 2011b, 2012a, 2012b, 2012e, 2012g, 2013), Cognitive Linguistics (Wang & Berwick, 2012; Wang, Berwick, & Luo, 2012b), Formal Neural Signal and Circuit Theories (Wang & Fariello, 2012), Cognitive Systems (Kinsner, 2011; Wang, 2010b, 2011c). Recent studies on LRMB in cognitive informatics reveal an entire set of cognitive functions of the brain and their cognitive process models, which explain the functional mechanisms and cognitive processes of the natural intelligence with 47 cognitive processes at seven layers known as the sensation, action, memory, perception, meta-cognitive, inference, and advanced cognitive layers (Wang et al., 2006).

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 11: 4 Issues (2017): 3 Released, 1 Forthcoming
Volume 10: 4 Issues (2016)
Volume 9: 4 Issues (2015)
Volume 8: 4 Issues (2014)
Volume 7: 4 Issues (2013)
Volume 6: 4 Issues (2012)
Volume 5: 4 Issues (2011)
Volume 4: 4 Issues (2010)
Volume 3: 4 Issues (2009)
Volume 2: 4 Issues (2008)
Volume 1: 4 Issues (2007)
View Complete Journal Contents Listing