In this paper Brian and I propose a cognitive architecture (~= robot operating system) that is able to perform reasoning on self-models of various levels.

Reasoning on self-models is a capability rarely found as of today (July 2023). Large language models (LLM's) are not capable to do this, nor any other known systems, except for low-level reasoning on physical position.

Please see TinyCog for details on a minimalist SBR implementation.