Rough Set & Riemannian Covariance Matrix Theory for Mining the Multidimensionality of Artificial Consciousness

Abstract

This paper presents a means to analyze the multidimensionality of human consciousness as it interacts with the brain by utilizing Rough Set Theory and Riemannian Covariance Matrices. We mathematically define the infantile state of a robot's operating system running artificial consciousness, which operates mutually exclusively to the operating system for its AI and locomotor functions.