In G. Nakamura, R. Taraban, and D. Medin (Eds). The Psychology of Learning and Motivation, Vol. 29, San Diego, CA: Academic Press.
Our methodological viewpoint agrees with Anderson's ideas of rational analysis: if humans are bounded-rational agents, then a reasonable starting point for modeling their behavior is an objective function that describes ideal behavior conditioned on resource (e.g., memory) constraints. This view is consistent with traditional research at the interface of artificial intelligence and cognitive psychology, but we stress throughout that to be maximally useful, computational models should move beyond the known experimental data, thus providing guidance for further psychological study.
Related article: Fisher, D. and Langley, P. (1993). "The structure and formation of natural categories," The Psychology of Learning and Motivation, Vol. 25, G. Bower (Ed.), San Diego, CA: Academic Press.
Related article: Yoo, J. and Fisher, D. (1991). "Concept Formation over Explanations and Problem-Solving Experiences," International Joint Conference on Artificial Intelligence, Sydney, Australia: Morgan Kaufmann, pp. 630-636.
Related article: Yoo, J. and Fisher, D. (1991). "Concept Formation over Problem-Solving Experiences," In D. Fisher, M. Pazzani, and P. Langley (Eds.), Concept Formation: Knowledge and Experience in unsupervised Learning: Morgan Kaufmann.