This book offers a model for concepts and their dynamics. A basic assumptionis that concepts are composed of specified components, which are representedby large binary patterns whose psychological meaning is governed by the interaction between conceptual modules and other functional modules. A recurrent connectionist model is developed in which some inputs are attracted faster than others by an attractor, where convergence times can beinterpreted as decision latencies. The learning rule proposed is extracted from psychological experiments. The rule has the property that that whena context becomes more familiar, the associations between the concepts of the context spontaneously evolve from loose associations to a more taxonomicorganization.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book offers a model for concepts and their dynamics. Abasic assumptionis that concepts are composed of specifiedcomponents, which are representedby large binary patternswhose psychological meaning is governed by the interactionbetween conceptual mo. N° de réf. du vendeur 4894400
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a model for concepts and their dynamics. Abasic assumptionis that concepts are composed of specifiedcomponents, which are representedby large binary patternswhose psychological meaning is governed by the interactionbetween conceptual modules and other functional modules. Arecurrent connectionist model is developed in which someinputs are attracted faster than others by an attractor,where convergence times can beinterpreted as decisionlatencies. The learning rule proposed is extracted frompsychological experiments. The rule has the property thatthat whena context becomes more familiar, the associationsbetween the concepts of the context spontaneously evolvefrom loose associations to a more taxonomicorganization. 360 pp. Englisch. N° de réf. du vendeur 9783540576471
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a model for concepts and their dynamics. Abasic assumptionis that concepts are composed of specified components, which are representedby large binary patterns whose psychological meaning is governed by the interaction between conceptual modules and other functional modules. A recurrent connectionist model is developed in which some inputs are attracted faster than others by an attractor, where convergence times can beinterpreted as decision latencies. The learning rule proposed is extracted from psychological experiments. The rule has the property that that whena context becomes more familiar, the associations between the concepts of the context spontaneously evolve from loose associations to a more taxonomicorganization.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 360 pp. Englisch. N° de réf. du vendeur 9783540576471
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a model for concepts and their dynamics. Abasic assumptionis that concepts are composed of specifiedcomponents, which are representedby large binary patternswhose psychological meaning is governed by the interactionbetween conceptual modules and other functional modules. Arecurrent connectionist model is developed in which someinputs are attracted faster than others by an attractor,where convergence times can beinterpreted as decisionlatencies. The learning rule proposed is extracted frompsychological experiments. The rule has the property thatthat whena context becomes more familiar, the associationsbetween the concepts of the context spontaneously evolvefrom loose associations to a more taxonomicorganization. N° de réf. du vendeur 9783540576471
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Taschenbuch. Etat : Neu. The Dynamics of Concepts | A Connectionist Model | Philip R. van Loocke | Taschenbuch | xiii | Englisch | 1994 | Springer | EAN 9783540576471 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 102061767
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