The Unified Neurosymbolic Architecture

The Unified Neurosymbolic Architecture (UNA) is a vertically integrated cognitive framework that unifies neural learning, symbolic reasoning, evolutionary optimization, meta-cognitive control into a single coherent system.This white paper presents the architecture's conceptual foundations,structural layers, information-flow pathways, and theoretical motivations. UNA bridges traditionally seperate AI paradigms-connectionist, symbolic, evolutionary, and reflective-into a unified model capable of generalizable reasoning, adaptive problem-solving and cross-domain knowledge integration. The document outlines the architecture's core components including sensory-grounded neural encoders, symbolic transformation pipelines, a semantic bridge for representational alignment, and a meta-cognitive kernal responsible for planning, evaluatioin, and self-modification. This white paper serves as the foundational reference for UNA and establishes its relevance as a next-generation neurosymbolic framework.