Publication: A computational model of acquisition
for children's addition strategies.
Jones, R., & VanLehn, K. (1991). A
computational model of acquisition for children's addition strategies.
In L. Birnbaum & G. Collins (Eds.), Machine learning: Proceedings of
the Eighth International Workshop (pp. 65-69). San Mateo, CA: Morgan
Kaufmann.
GIPS is a problem-solving system that models the strategy shifts of
children learning to add. The system uses a generalized form of mean-
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. The system generates the appropriate
final strategy, as well as the intermediate strategies that Siegler
and Jenkins (1989) observed.