@article{(Open Science Index):https://publications.waset.org/pdf/11367, title = {Generalized Exploratory Model of Human Category Learning }, author = {Toshihiko Matsuka}, country = {}, institution = {}, abstract = {One problem in evaluating recent computational models of human category learning is that there is no standardized method for systematically comparing the models' assumptions or hypotheses. In the present study, a flexible general model (called GECLE) is introduced that can be used as a framework to systematically manipulate and compare the effects and descriptive validities of a limited number of assumptions at a time. Two example simulation studies are presented to show how the GECLE framework can be useful in the field of human high-order cognition research. }, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {4}, year = {2007}, pages = {1146 - 1154}, ee = {https://publications.waset.org/pdf/11367}, url = {https://publications.waset.org/vol/4}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 4, 2007}, }