The aim of this paper is to present a shortened version of the SIS (support intensity scale) obtained by the application of mathematical models and instruments, adopting special algorithms based on the most recent developments in artificial adaptive systems. All the variables of SIS applied to 1,052 subjects with ID (intellectual disabilities) involved in the validation of the Italian version of SIS, were analyzed with the aforementioned artificial adaptive systems. This study has identified 56 items, whose responses are able to explain up to 89% of sample variance. Secondly, these same variables have been analyzed by means of specific semantic networks, in order to demonstrate the plenty of scientific suggestions emerging from such an approach to statistic processing. (Contains 5 figures and 3 tables.)