ARIA: A Zero-Hallucination Neuro-Symbolic Architecture for Persistent Memory, Sparse Graph Reasoning, and Autonomous Self-Evolution

ARIA is a deterministic neuro-symbolic cognitive architecture designed to integrate persistent memory, autonomous goal formation, causal reasoning, self-modifying cognitive structures, and large-scale knowledge representation.

Unlike conventional transformer-based systems, ARIA combines symbolic knowledge graphs, dynamic concept networks, neuromorphic processing components, autonomous learning mechanisms, and long-term memory persistence into a unified cognitive framework.

This publication describes the architecture, design principles, implementation details, experimental results, and future development roadmap of the ARIA system.

Keywords: AGI, Neuro-Symbolic AI, Cognitive Architecture, Persistent Memory, Autonomous Agents, Artificial General Intelligence, Causal Reasoning, Knowledge Graphs, AtomSpace, Cognitive Systems.