A Computation Model of Acquisition for Children's Addition Strategies.

Abstract

GIPS is a problem solving system that models the strategy shifts of children learning to add. The system uses a generalized form of means-ends analysis as its reasoning algorithm, and it learns probabilistic selection and execution concepts for its operators. With this combination, GIPS models the SUM-to-MIN transition that children exhibit when learning to add (Siegler and Jenkins, 1989). The system generates the appropriate final strategy, as well as the intermediate strategies that Siegler and Jenkins observed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1991
Accession Number
ADA240507

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  • Kurt VanLehn
  • Randolph M. Jones

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  • Carnegie Mellon University

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