"Mental Images" driven classification

Common sense rules are a form of implicit knowledge acquired through experience and observation of the world around us, and used by both humans and machines to reason and to make decisions about the surrounding environment. Artificial Intelligence systems can extract these rules by mining data and apply them to many predictive tasks. Herein, we first present a new method for extracting rules from DRASiW "Mental Images" (MI) and then how to exploit them to improve the classification performance of the system. The latter is confirmed by the obtained results.