Comparative Reasoning for Intelligent Agents

We demonstrate new comparative reasoning abilities of NARS, a formal model of intelligence, which enable the asymmetric comparison of perceivable quantifiable attributes of objects using rela- tions. These new abilities are implemented by extending NAL with addi- tional inference rules. We demonstrate the new capabilities in a bottle- picking experiment on a mobile robot running ONA, an implementation of NARS.