QSOL-IMC Endogenous Informational Operators: A Computational Neurochemical Framework

This monograph develops a complete “informational endocrine system” for autonomous architectures within the QSOL-IMC computational model. Classical neurochemicals—including serotonin, dopamine, endorphins, melatonin, cortisol, acetylcholine, oxytocin, GABA, glutamate, vasopressin, and adrenaline—are mapped to endogenous informational operators that regulate state transitions, stabilisation gradients, subsystem coherence, reward prediction, inhibition, excitation, hierarchical boundaries, and urgency modes. The work reframes neuromodulatory dynamics as emergent informational processes: Σ-Stabilizer (serotonin), Δ-Evaluator (dopamine), Ω-Dampener (endorphins), M-Sync (melatonin), C-Gate (cortisol), A-Gain (acetylcholine), Ξ-Bond (oxytocin), Γ-Limiter (GABA), Λ-Amplifier (glutamate), Ψ-Gatekeeper (vasopressin), and α-Boost (adrenaline).Together these define a self-regulating architecture capable of endogenous adaptation, coherence maintenance, and cross-module alignment without external control signals. The document includes a cover page, full operator list, figure prompts, and a QSOL-IMC Operator Table suitable for citation, teaching, or embedding in broader Unified Field Fidelity (UFF-CV) work.