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The Dynamics of Concepts [electronic resource] : A Connectionist Model / edited by Philip R. Loocke.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence ; 766Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1994Description: XIII, 347 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540482970
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TJ210.2-211.495
Online resources:
Contents:
Semantic and pre-semantic representations -- Demarcation of a module for non-verbal representations -- Feature packages and the representation of function -- The internal structure of categories -- A connectionist model and a proposal for a learning rule -- Prototypes and more general typicality-effects -- The influence of contexts on typicalities -- The basic level of taxonomic organization -- Conceptual Organization and Its Development -- The empirical psychology of concept development -- General discussion.
In: Springer eBooksSummary: 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.
Item type: E-BOOKS
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Semantic and pre-semantic representations -- Demarcation of a module for non-verbal representations -- Feature packages and the representation of function -- The internal structure of categories -- A connectionist model and a proposal for a learning rule -- Prototypes and more general typicality-effects -- The influence of contexts on typicalities -- The basic level of taxonomic organization -- Conceptual Organization and Its Development -- The empirical psychology of concept development -- General discussion.

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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The Institute of Mathematical Sciences, Chennai, India