ABSTRACT

The comparison and evaluation of computational models of human learning are issues of active interest to psychologists and members of the behavior modeling community (e.g., Gluck & Pew, 2001; Pitt & Myung, 2002; Young, 2003). A goal of the present research project was to identify techniques and procedures that could be used for comparison and evaluation of models of human learning, and to apply the techniques to the models developed for predicting training effects. The results of the model comparisons and evaluations are presented in this chapter (see also Raymond, Fornberg, Buck-Gengler, Healy, & Bourne, 2008).