Proceedings of the Annual Meeting of the Cognitive Science Society

The Cascade model of cognitive skill acquisition was developed to integrate a number of AI techniques and to account for psychological results on the self-explanation effect. In previous work, we compared Cascade's behavior to aggregate data collected from the protocols of 9 subjects in a self evaluation study. Here, we report the results of a fine-grained analysis, in which we matched Cascade's behavior to the individual protocols of each of the subjects. Our analyses demonstrate empirically that cascade is a good model of subject behavior at the level of goals and inferences. It covers aliout lTi%, of the subjects" example-studying behavior and 6 0 % to 9 0 % of their problem-solving l)ehavior. In addition, this research forced us to (leveloj) general feasible methods for matching a simulation to large protocols (approximately 3000 stages total). Finally, the analyses point out some weaknesses in the Cascade system and provide us vvitli direction for future analyses of the model and data.