Cognitive Informatics and Cognitive Computing in Year 10 and Beyond

Author:

Wang Yingxu1,Berwick Robert C.2,Haykin Simon3,Pedrycz Witold4,Kinsner Witold5,Baciu George6,Zhang Du7,Bhavsar Virendrakumar C.8,Gavrilova Marina L.1

Affiliation:

1. University of Calgary, Canada

2. Massachusetts Institute of Technology, USA

3. McMaster University, Canada

4. University of Alberta, Canada

5. University of Manitoba, Canada

6. Hong Kong Polytechnic University, Hong Kong

7. California State University, Sacramento, USA

8. University of New Brunswick, Canada

Abstract

Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, 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. The latest advances in CI leads to the establishment of cognitive computing theories and methodologies, as well as the development of Cognitive Computers (CogC) that perceive, infer, and learn. This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC’11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

Publisher

IGI Global

Reference87 articles.

1. Baciu, G., Yao, Y., Wang, Y., Zadeh, L. A., Chan, K., & Kinsner, W. (Eds.). (2009, June). Proceedings of the 8th IEEE International Conference on Cognitive Informatics. Washington, DC: IEEE Computer Society.

2. Granular Computing

3. Toward a Theory of Granular Computing for Human-Centered Information Processing

4. Human-Centric Information Processing Through Granular Modelling

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