Positioning. The article, published at the European Conference on Artificial Intelligence (ECAI) in 2010, aims to capture human reasoning difficulty in Raven’s reasoning problems.
Research Question. Is it possible to introduce a complexity measure for Cattell’s Culture Fair Test problems wrt. the kind of underlying functions necessary to solve such tasks?
Method. Formal analysis and cognitive modeling.
Results. The investigations lead to the implementation of a Python program, which is able to solve matrix tasks and to evaluate their complexity by a newly developed complexity measure. The predictions of the model is compared with the human performance on solving the item’s from Cattell’s Culture Fair Test and yield to a correlation r = .72, p < .05 without weigths.
Stahl, P., & Ragni, M. (2010). Complexity in Analogy Tasks: An Analysis and Computational Model. In H. Coelho, R. Studer, & M. Wooldridge (Eds.), Proceedings of the 19th European Conference on Artificial Intelligence (Vol. 215, pp. 1041–1042). Amsterdam: IOS Press.