Advertisement

About this book

Introduction

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.

Keywords

Action Cenceptual Structures Cognitive Psychology Connectionist Model Connectionist-Model Human Learning Knowledge Representation Kognitive Psychologie Konzeptuelle Strukturen Menschlisches Lernen Wissensdarstellung learning

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0027534
  • Copyright Information Springer-Verlag Berlin Heidelberg 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-57647-1
  • Online ISBN 978-3-540-48297-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site