Example-based models of control problems

The paper reports work in progress on the investigation of the new ACT-R blending mechanism in its scope to account for data from two experiments with Broadbent’s TRANSPORTATION task. Two simple models are proposed that store and retrieve problem solving episodes to learn controlling the TRANSPORTATION scenario. Preliminary results with the models provide clear evidence for the empirical adequacy of the blending mechanism.