Perspectives on Cognitive Informatics and Cognitive Computing

Yingxu Wang, George Baciu, Yiyu Yao, Witold Kinsner, Keith Chan, Bo Zhang, Stuart Hameroff, Ning Zhong, Chu-Ren Hunag, Ben Goertzel, Duoqian Miao, Kenji Sugawara, Guoyin Wang, Jane You, Du Zhang and Haibin Zhu
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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
Haibin Zhu: Nipissing University, Canada

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2010, vol. 4, issue 1, 1-29

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.

Date: 2010
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