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
Link To Document :
بازگشت