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Perspectives on Cognitive Informatics and Cognitive Computing

Perspectives on Cognitive Informatics and Cognitive Computing
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Author(s): Yingxu Wang (University of Calgary, Canada), George Baciu (The Hong Kong Polytechnic University, Hong Kong), Yiyu Yao (University of Regina, Canada), Witold Kinsner (University of Manitoba, Canada), Keith Chan (The Hong Kong Polytechnic University, Hong Kong), Bo Zhang (Tsinghua University, China), Stuart Hameroff (The University of Arizona, USA), Ning Zhong (Maebashi Institute of Technology, Japan), Chu-Ren Hunag (The Hong Kong Polytechnic University, Hong Kong), Ben Goertzel (Novamente LLC, USA), Duoqian Miao (Tongji University, China), Kenji Sugawara (Chiba Institute of Technology, Japan), Guoyin Wang (Chongqing Posts and Telecommunications University, China), Jane You (The Hong Kong Polytechnic University, Hong Kong), Du Zhang (California State Univ., Sacrament, USA) and Haibin Zhu (Nipissing University, Canada)
Copyright: 2012
Pages: 24
Source title: Developments in Natural Intelligence Research and Knowledge Engineering: Advancing Applications
Source Author(s)/Editor(s): Yingxu Wang (University of Calgary, Canada)
DOI: 10.4018/978-1-4666-1743-8.ch001

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Abstract

Cognitive informatics is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. Cognitive computing is an emerging paradigm of intelligent computing methodologies and systems based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a set of collective perspectives on cognitive informatics and cognitive computing, as well as their applications in abstract intelligence, computational intelligence, computational linguistics, knowledge representation, symbiotic computing, granular computing, semantic computing, machine learning, and social computing.

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