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.