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Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing

Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing

Yingxu Wang
Copyright: © 2011 |Volume: 5 |Issue: 1 |Pages: 19
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781613505991|DOI: 10.4018/jcini.2011010105
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MLA

Wang, Yingxu. "Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing." IJCINI vol.5, no.1 2011: pp.75-93. http://doi.org/10.4018/jcini.2011010105

APA

Wang, Y. (2011). Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 5(1), 75-93. http://doi.org/10.4018/jcini.2011010105

Chicago

Wang, Yingxu. "Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 5, no.1: 75-93. http://doi.org/10.4018/jcini.2011010105

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Abstract

The contemporary wonder of sciences and engineering recently refocused on the starting point: how the brain processes internal and external information autonomously rather than imperatively as those of conventional computers? This paper explores the interplay and synergy of cognitive informatics, neural informatics, abstract intelligence, denotational mathematics, brain informatics, and computational intelligence. A key notion recognized in recent studies in cognitive informatics is that the root and profound objective in natural, abstract, and artificial intelligence, and in cognitive informatics and cognitive computing, is to seek suitable mathematical means for their special needs. A layered reference model of the brain and a set of cognitive processes of the mind are systematically developed towards the exploration of the theoretical framework of cognitive informatics. A wide range of applications of cognitive informatics and denotational mathematics are recognized in the development of highly intelligent systems such as cognitive computers, cognitive knowledge search engines, autonomous learning machines, and cognitive robots.

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