System and Method for Multimodal Cognitive Architecture Featuring Visual Thought Simulation, Internal Scene Construction, and Meta-Cognitive Feedback

This project proposes an original AGI architecture focusing on visual thought simulation, internal scene modeling, symbolic reasoning, and meta-cognitive feedback. It was voluntarily submitted for informational and research purposes on April 20, 2025, by Derek Van Derven. This blueprint outlines the first publicly disclosed AGI architecture to integrate visual thought simulation, mnemonic-symbolic memory encoding, and internal contradiction resolution as core cognitive functions. The system features a multimodal cognitive loop capable of constructing internal scenes, simulating abstract concepts, and self-monitoring belief networks using peg-word mnemonic grounding. Originally published by Derek Van Derven in April 2025, this design serves as a practical, buildable roadmap for symbolic-visual AGI systems using current tools like LLMs, Neo4j, and Unity.