Comparative Reasoning for Intelligent Agents

Patrick Hammer, Peter Isaev, Hugo Latapie, Francesco Lanza, Antonio Chella, Pei Wang

Abstract: 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 relations. These new abilities are implemented by extending NAL with additional inference rules. We demonstrate the new capabilities in a bottle-picking experiment on a mobile robot running ONA, an implementation of NARS.