A low-level model of creativity is developed in this study using an Information Processing perspective. The model proposes that associative processes are central to creativity and that dissimilarity tasks reflect the activity of these processes. Furthermore, the model predicts that there are IQ-dependent differences in the output of these processes. Three stimulus sets of increasing complexity are used in the assessments of dissimilarity. A control group of participants are age-matched with a group of high IQ participants, and both groups completed assessments of dissimilarity of all three stimulus sets. Multidimensional scaling solutions of the responses show that both groups made assessments based on the features used to define each stimulus set, although it was not possible to distinguish between the two groups. Modelling the responses using the fuzzy-logical model of perception (FLMP) shows that differences in the responses from the two groups can be attributed to differences in the fuzzy-truth values, the currency of the FLMP.