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    Computer Science, Université du Québec à Montréal, Montreal

    How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent

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    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 5 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.

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    Description

    Title : How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent
    Author(s) : Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier, Andre Mayers
    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 5 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.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2009

    Affiliations Computer Science, Université du Québec à Montréal, Montreal
    Journal : 2008 IEEEWICACM International Conference on Web Intelligence and
    Publisher : Ieee
    Pages : 606-611
    Url : http://arxiv.org/abs/0901.4963

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