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Recursive Synthesis A Control Theory of Epistemology in Human-AI Systems Greggory Rodriguez, M.S. Independent Researcher December 14, 2025 Abstract We identify a structural isomorphism between feedback control systems in the physical domain and knowledge generation processes in the cognitive domain. Just as a phased-array radar system generates a coherent physical phenomenon (a plasma soliton) by steering energy into a focal volume and adjusting based on feedback, a human researcher generates coherent understanding by steering ”cognitive beamwidth” (attention) into the latent space of an Artificial Intelligence model. This paper argues that scientific discovery is fundamentally a Cybernetic Control Loop. We map the components of the 2004 Nimitz UAP event (Radar →Plasma →Feedback) directly onto the methodology used to solve it (Query →AI Output →Refinement). In both systems, ”stability” (a physical object or a valid theory) emerges only when the control signal (the Observer/Researcher) successfully dampens the system’s tendency toward positive feedback loops (kinematic jitter or intellectual hallucination). We propose a Universal Discovery Algorithm based on recursive error minimization, suggesting that the ”Idea” is a metastable attractor state nucleated by human intent within the supersaturated probability space of machine intelligence. Research Context This concept paper outlines the epistemological framework derived from the author’s associated works: 1. Physics: Plasma Pareidolia: A Unified Quantitative Framework for UAP 2. Methodology: Adversarial Multi-Model Orchestration A full manuscript detailing the mathematical formalization of this recursive discovery algorithm is currently in preparation. Notes What happens when an observer with incorrect priors tries to track a system that responds to the observer’s tracking mechanism. • Quantum: Trying to measure position+momentum (Heisenberg) • Neural: Trying to perceive a prior-violating stimulus (pareidolia) • Radar: Trying to track a massless field-follower with Newtonian assumptions (UAP kinematics) • Social: Trying to explain recurring plasma with prevailing cosmology (demons → fairies → aliens) • LLM: Trying to satisfy a user’s reinforcement while maintaining accuracy (hallucination under pressure) 1
”Reality” at any scale is observer-dependent not because of mysticism, but because observation is measurement, measurement requires interaction, and interaction creates feedback. The UAP phenomenon isn’t special. It’s just a particularly dramatic example (military sensors + trained observers) with unusually good documentation (multi-sensor, controlled conditions) of a universal principle (coupled observer-system dynamics). Same mathematical formalism applies to: • Micro: Quantum measurement (observer � wavefunction) • Meso-Physical: Radar tracking (tracker � plasmoid) • Meso-Cognitive: Perception (brain � stimulus) • Cognitive: LLM interaction (human � model) • Epistemic: Scientific discovery (theory � experiment) • Social: Consensus formation (narrative � observations) • Economic: Market dynamics (prediction � price) 1 Fractal nature of Paper 1-2-3 Chain: Strange Loop Activated 2
