Computer modeling of feelings and emotions: a quantitative neural network model of the feeling-of-knowing

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dc.creatorGopych, Petro M.
dc.date2002-06-03
dc.date.accessioned2026-07-07T03:18:30Z
dc.date.available2026-07-07T03:18:30Z
dc.descriptionThe first quantitative neural network model of feelings and emotions is proposed on the base of available data on their neuroscience and evolutionary biology nature, and on a neural network human memory model which admits distinct description of conscious and unconscious mental processes in a time dependent manner. As an example, proposed model is applied to quantitative description of the feeling of knowing.
dc.descriptionA report presented at the IVth Kharkiv International Psychology Conference dedicated to 70th anniversary of psychology studies at Kharkiv University "Psychology in Contemporary World :Theory and Practice" held in Kharkiv, Ukraine, April 18-19, 2002, 5 pages, 2 Figures
dc.identifierhttps://arxiv.org/abs/cs/0206008
dc.identifierhttp://arxiv.org/abs/cs/0206008
dc.identifierKharkiv University Bulletin, Series Psychology, 2002, no.550(part 1), p.54-58
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31135
dc.subjectArtificial Intelligence
dc.subjectNeural and Evolutionary Computing
dc.subjectNeurons and Cognition
dc.subjectQuantitative Methods
dc.subjectI.2.0; J.4
dc.titleComputer modeling of feelings and emotions: a quantitative neural network model of the feeling-of-knowing
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