• 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