Generalized identity matching is the ability to apply an identity concept in novel situations. This ability has been studied experimentally among humans and non-humans in a match-to-sample task. The aim of this study was to test if this ability was possible to demonstrate in the Non-Axiomatic Reasoning System (NARS). More specifically, we used a minimal configuration of OpenNARS for Applications that contained only sensorimotor reasoning. After training with only two identity matching-to-sample problems, NARS was able to derive an identity concept that it could generalize to novel situations.