Modelling Conceptual Development: A computational Account of Conservation Learning

Abstract

This chapter presents the view that concept formation is a critical mechanism in cognitive development. To illustrate this point I present a novel explanation of the formation of Piagetian conservation concepts whose plausibility is supported by an early implementation of a computational model. This model relies heavily on the impasse driven performance and learning nature of the Soar architecture and on an Explanation-Based Learning style generalization process to explain the critical transition that characterizes the acquisition of conservation knowledge. As an account of a developmental phenomenon, this model takes the first steps towards demonstrating unsupervised, incremental learning over an extended range of input and levels of competence. Author (kr)

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Document Details

Document Type
Technical Report
Publication Date
Feb 28, 1990
Accession Number
ADA225800

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  • Tony Simon

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  • Carnegie Mellon University

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  • Abstracts
  • Acquisition
  • Artificial Intelligence
  • Causal Reasoning
  • Cognition
  • Concept Formation
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