DocumentCode :
3399396
Title :
How emotional mechanism helps episodic learning in a cognitive agent
Author :
Faghihi, Usef ; Fournier-Viger, Philippe ; Nkambou, Roger ; Poirier, Pierre ; Mayers, André
Author_Institution :
Univ. du Quebec a Montreal, Montreal, QC
fYear :
2009
fDate :
March 30 2009-April 2 2009
Firstpage :
23
Lastpage :
30
Abstract :
In this paper we propose the CTS (concious tutoring system) technology, a biologically plausible cognitive agent based on human brain functions.This agent is capable of learning and remembering events and any related information such as corresponding procedures, stimuli and their emotional valences. Our proposed episodic memory and episodic learning mechanism are closer to the current multiple-trace theory in neuroscience, because they are inspired by it contrary to other mechanisms that are incorporated in cognitive agents. This is because in our model emotions play a role in the encoding and remembering of events. This allows the agent to improve its behavior by remembering previously selected behaviors which are influenced by its emotional mechanism. Moreover, the architecture incorporates a realistic memory consolidation process based on a data mining algorithm.
Keywords :
behavioural sciences computing; data mining; intelligent tutoring systems; multi-agent systems; neurophysiology; cognitive agent; concious tutoring system; data mining algorithm; emotional mechanism; episodic learning mechanism; episodic memory; neuroscience; Biological information theory; Brain modeling; Data mining; Encoding; Hippocampus; Humans; Learning systems; Neuroimaging; Neurons; Neuroscience;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agents, 2009. IA '09. IEEE Symposium on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2767-3
Type :
conf
DOI :
10.1109/IA.2009.4927496
Filename :
4927496
Link To Document :
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