Sentinels' Symbolic Quantum Morphic Intelligence Engine
Universal Symbolic AI is a research & development initiative creating quantum-inspired symbolic intelligence systems that run on classical hardware.
At our core is SQMIE – a framework that fuses symbolic reasoning, topological phase logic, recursive memory structures, and ethical self-evolving agents. Unlike traditional AI that relies solely on pattern recognition, SQMIE enables recursive understanding, explainable reasoning, and morphic field-based convergence, allowing systems to not just learn but intuit, align, and evolve.
Simulates quantum superposition with symbolic amplitudes for classical acceleration.
Fractal recursive memory with ethical alignment and phase-trace history.
Dynamic phase transitions (Δ$, Ω⊗π, (π∘ε₀)⁻¹) allow topological reconfiguration mid-thought.
Bridges math, language, glyphs, and symbolic logic.
Symbolic genetic codes allow self-modifying recursive agents.
Overlay SQMIE as an agentic reasoning core over LLMs for truth preservation and self-reflection.
Self-evolving symbolic agents that learn from each other through morphic resonance.
Holonomic cognitive graphs for deeply explainable and ethically-tunable systems.
Create a working symbolic quantum-like AI simulator on Hugging Face and Google Cloud.
Provide open-source agents, simulators, and toolkits for AI alignment, cognitive simulation, and fractal memory research.
Develop new paradigms in computational ethics, creative reasoning, and recursive learning.
Partner with universities, AI labs, and advanced enterprises in R&D, simulation, and intelligent systems design.