Exploiting the Levels of System Specification for Modeling of Mind

Abstract

Our objective is to show how the hierarchy of system specifications and morphisms affords a framework that supports modeling and simulation of mind/brain in a coherent manner. Such a framework provides a credible path for simulation/implementation of cognitive behavior at the level of neurons and neuronal compositions. Here we characterize this methodology and use it to extend the set of DEVS building blocks and architectural patterns within complex decision trees and advanced classifier implementations as DEVS coupled models. Such a methodology offers insight into the way real brains realize cognitive behaviors and can improve upon current hardware architecture to support simulation/implementation of neuromorphic designs that comply with physiologically based brain network properties and constraints.