DocumentCode
3217496
Title
Modeling metacognition for learning in artificial systems
Author
Josyula, Darsana P. ; Vadali, Harish ; Donahue, Bette J. ; Hughes, Franklin C.
Author_Institution
Dept. of Comput. Sci., Bowie State Univ., Bowie, MD, USA
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
1419
Lastpage
1424
Abstract
Evidence suggests that metacognition - the ability to monitor the cognitive processes and regulate them - exists not only in humans but also in some animals. In nature, humans and animals use metacognition to self-regulate their learning process. This paper gathers evidence of metacognition in nature from research in various disciplines. It also shows how metacognition can be modeled in artificial systems and how the model is applied in an Air Traffic Control Simulator system.
Keywords
cognitive systems; learning (artificial intelligence); air traffic control simulator system; artificial systems; learning; metacognition modeling; Air traffic control; Animals; Cognition; Computer science; Computerized monitoring; Humans; Intelligent agent; Optimized production technology; Psychology; Testing; cognitive modeling; fault diagnosis; intelligent agents; learning; metacognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5053-4
Type
conf
DOI
10.1109/NABIC.2009.5393706
Filename
5393706
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