TY - JOUR
T1 - Perspectives on cognitive informatics and cognitive computing
AU - Wang, Yingxu
AU - Baciu, George
AU - Yao, Yiyu
AU - Kinsner, Witold
AU - Chan, Keith
AU - Zhang, Bo
AU - Hameroff, Stuart
AU - Zhong, Ning
AU - Hunag, Chu Ren
AU - Goertzel, Ben
AU - Miao, Duoqian
AU - Sugawara, Kenji
AU - Wang, Guoyin
AU - You, Jane
AU - Zhang, Du
AU - Zhu, Haibin
N1 - Funding Information:
Cognitive computing strives to engineer holistic intelligent machines that can seamlessly tie together a collection of components that mimic the mental processes dealing with sensation, cognition, perception, emotion, action, and interaction ( Zhang, 2007 , 2008 ). The SyNAPSE project, abbreviated for Systems of Neuromorphic Adaptive Plastic Scalable Electronics, and funded by DARPA recently, presents a significant step toward this ambitious goal ( DARPA, 2009 ). One of the desirable features in the SyNAPSE project is to exhibit the adaptation of such a cognitive machine in dynamic, uncertain, probabilistic environments that include partial, erroneous and sometimes contradictory information ( DARPA, 2008 ). Thus, it is an important task in cognitive computing to address the issue of managing and handling inconsistency in knowledge and information.
PY - 2010/1
Y1 - 2010/1
N2 - 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.
AB - 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.
KW - Abstract intelligence
KW - Ai
KW - Artificial intelligence
KW - Autonomous knowledge Processing
KW - Cognitive Informatics
KW - Cognitive computing
KW - Cognitive penetrability
KW - Computational inferences
KW - Computational intelligence
KW - Concept algebra
KW - Denotational mathematics
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=78649844256&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649844256&partnerID=8YFLogxK
U2 - 10.4018/jcini.2010010101
DO - 10.4018/jcini.2010010101
M3 - Article
AN - SCOPUS:78649844256
SN - 1557-3958
VL - 4
SP - 1
EP - 29
JO - International Journal of Cognitive Informatics and Natural Intelligence
JF - International Journal of Cognitive Informatics and Natural Intelligence
IS - 1
ER -