The Carlo Cognitive Engine: Theory, Structure, and Full Specification

What it includes High‑level theory of the Carlo Meta‑Supra Engine Full explanations of each subsystem Mathematical notes for Lorenz, Rössler, FHN, hysteresis, predictive processing, safety regulation, intent vector, and reset operator Behavioural interpretation guide Conceptual pseudocode for causal structure reduction, collapse pipelines, and invariant detection Narrative framing for how the system behaves under drift, collapse, emergence, and stabilisation Clear definitions of each engine’s role in the cognitive ecology A complete conceptual map of how the engines interact as a unified cognitive dynamical system Purpose of the main document It serves as: the theoretical backbone, the research‑grade explanation, the reference manual, and the interpretation guide for anyone reading, analysing, or extending the Carlo Engine. It is the “why” and the “how”. AI Drop‑In Command Document — “Universal AI Command + Full Engine Bundle” This document is the operational counterpart to the main document. It contains: the universal AI prompt, the presentation‑style instructions, the context block, and the entire single‑file Carlo Cognitive Engine in NOTEBLOCK form. What it includes Your calm, steady, clearly structured style request Your organisational scaffold Your Meta‑Supra Engine metaphor Your conceptual pseudocode The integrated engine context The complete single‑file Carlo Cognitive Engine, including: Lorenz limbic core Rossler cortical drift FHN executive oscillator Hysteresis memory Predictive layer Safety regulator Intent vector Reset operator All modules combined into one sealed, dependency‑free JS file A clean, universal “drop‑in” format that any AI can parse without confusion Purpose of the AI drop‑in command It is designed to: be pasted directly into any AI, provide consistent context, ensure stable behaviour, and embed the entire engine suite as conceptual background. It is the “how to run this with an AI”. The New Equations: Carlo Hybrid Stability Equation Phi = sqrt (X² + Y² + Z²) + lambdaH - gamma (I dot X) Predictive Surprise Modulation Law Deltaᵣho = alpha * abs (wₕat - w) Deltaₛigma = beta * abs (wₕat - w) Hysteresis-Driven Allostatic Shift rhoₑff = rho₀ + k1 * H sigmaₑff = sigma₀ + k2 * H Executive Rhythm Equation (FHN-Carlo Form) dv/dt = v - (v³) /3 - w + etaD dw/dt = (v + a - bw) / tau Meta-Supra Engine Collapse Operator Omega' = r * Omega + (1 - r) * M Unified Carlo Energy Expression ECarlo = ||L|| + mu||R|| + nuabs (v) + lambda*H To Mel C – I Turn to You: the anthem of an era when reality was held together with Woolworths pick‑and‑mix sugar glue and nobody questioned it. If you remember this tune detonating out of every car stereo, shop doorway, school disco, and rogue Argos catalogue speaker, then you remember when civilisation was at its peak. Turkey Twizzlers still in their original feral form. Sunny days that lasted fourteen years. The economy powered entirely by scented gel pens. What a time. What a timeline. What a patch. Carlo Cognitive Engine, Dynamical Cognition, Chaotic Systems, Nonlinear Dynamics, Attractor Landscapes, Cognitive Architectures, Predictive Processing, Allostatic Regulation, Stress Hysteresis, Proto‑Agency, Emergent Behaviour, Collapse and Reset Cycles, Lorenz Attractor, Rossler System, FitzHugh–Nagumo Oscillator, Hysteresis Memory, Surprise Modulation, Safety Regulator, Intent Vector, Reset Operator, Nonlinear Differential Equations, Chaotic Attractors, Bifurcation Behaviour, Dynamical Stability, Causal Structure Reduction, Graph‑Based Invariants, Symmetry Enforcement, Representation Minimisation, Structural Drift, Recursive Horizons, Collapse/Emergence Cycles, Ecological Cognition, Paradox Resolution, Invariant Detection, Complex Systems, Computational Neuroscience, Cognitive Modelling, Artificial Life, Systems Theory, Mathematical Psychology, Adaptive Systems, Simulation Frameworks, Nonlinear Dynamics (Zenodo), Chaos Theory (Zenodo), Cognitive Science (Zenodo), Computational Models (Zenodo), Artificial Intelligence (Zenodo), Complex Adaptive Systems (Zenodo), Mathematical Modelling (Zenodo), Systems Neuroscience (Zenodo)