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The 8th IEEE International Conference on
COGNITIVE INFORMATICS
June 15-17, 2009
The Hong Kong Polytechnic University, Hong Kong
http://www.comp.polyu.edu.hk/conference/icci2009
Theme
Cognitive Computing and Semantic Mining
ICCI'09 Preliminary Program
On-line Paper Submission: http://www.easychair.org/conferences/?conf=icci2009
Scope
Cognitive Informatics (CI) is a cutting-edge and transdisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, neuropsychology, medical science, systems science, software engineering, knowledge engineering, philosophy, linguistics, economics, management science, and life sciences. CI is a transdisciplinary enquiry on the internal information processing mechanisms and processes of the natural intelligence - human brains and minds - and their engineering applications in computing, computational intelligence, and the IT industries.
The development and the cross fertilization between the aforementioned science and engineering disciplines have led to a whole range of extremely interesting new research areas known as CI. Following the first seven successful conferences on Cognitive Informatics (ICCI’02 through ICCI’08), the 8th IEEE International Conference on Cognitive Informatics (ICCI’09) focuses on the theme of Cognitive Computing and Semantic Mining The objectives of ICCI¡¦09 are to draw attention of researchers, practitioners, and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.
Original papers are invited from multidisciplinary perspectives on subject areas including, but not limited to, the following:
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Cognitive Computing
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Computational Intelligence
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Neural Informatics
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| * Informatics models of the brain |
* Imperative vs. autonomous computing |
* Neuroscience foundations of information processing |
| * Cognitive processes of the brain |
* Reasoning and inferences |
* Cognitive models of the brain |
| * Internal information processing mechanisms |
* Cognitive informatics foundations |
* Functional modes of the brain |
| * Theories of natural intelligence |
* Robotics |
* Neural models of memory |
| * Intelligent foundations of computing |
* Informatics foundations of software engineering |
* Neural networks |
| * Denotational mathematics |
* Fuzzy and rough sets and logic |
* Neural computation |
| * Abstraction and means |
* Knowledge engineering |
* Cognitive linguistics |
| * Ergonomics |
* Pattern and signal recognitions |
* Neuropsychology |
| * Informatics laws of software |
* Autonomic agent technologies |
* Bioinformatics |
| * Knowledge representation |
* Memory models |
* Biosignal processing |
| * Models of knowledge and skills |
* Software agent systems |
* Cognitive signal processing |
| * Formal linguistics |
* Decision theories |
* Gene analysis and expression |
| * Cognitive complexity and metrics |
* Problem solving theories |
* Cognitive metrics |
| * Distributed intelligence |
* Machine learning systems |
* Neural signal interpretation |
| * Semantic computing |
* Distributed objects/granules |
* Visual information representation |
| * Emotions/motivations/attitudes |
* Web contents cognition |
* Visual semantics |
| * Perception and consciousness |
* Nature of software |
* Sensational cognitive processes |
| * Hybrid (AI/NI) intelligence |
* Granular computing |
* Human factors in systems |
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