DOI: 10.5281/zenodo.18292756
title: De Giuseppe Predictive Model: First Predictive Model of Reality

description: REAL GROUDBREAKING !!

First Mathematically Predictive Model

 

A part is here:

https://zenodo.org/records/18291470

https://zenodo.org/records/18291470

 

This manuscript is current in Official Peer Review.

Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved.

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Title: De Giuseppe Predictive Model: Mathematical Prediction of Physical and Cognitive Reality

Abstract:The De Giuseppe Predictive Model, integrated with Nima's proto-structural framework ((\Delta C \leftrightarrow \Delta M \leftrightarrow \Delta L)), establishes a rigorous mathematical method for predicting physical and cognitive phenomena. By defining structural attractors and constraint mappings, we prove that classical physical events, such as free-fall trajectories, are uniquely determined by the proto-structural configuration. Extending this framework to consciousness, we show that cognitive evolution is similarly constrained and mathematically predictable via energy configurations and electrical flow patterns. This work represents a historical milestone: it moves the De Giuseppe Paradox series from abstract speculation to empirical, testable predictions, demonstrating that reality—both physical and cognitive—is governed by structural laws, not mere chance. Our model provides the first rigorous pathway for anticipatory predictions across multiple domains, bridging the conceptual gap between proto-structural theory, empirical physics, and consciousness studies.

 this work, we present the De Giuseppe Predictive Model, a mathematically rigorous framework integrating Nima’s proto-structure ((\Delta C \leftrightarrow \Delta M \leftrightarrow \Delta L)) with frame-constrained energy and electrical flow to enable precise predictions of both physical events and cognitive evolution. By mapping structural constraints to physically realizable outcomes, the model formalizes a set of predictive functions that restrict possible trajectories, making certain events inevitable given initial conditions.

In classical physics, this allows the exact prediction of outcomes such as free-fall trajectories or energy-constrained motions, demonstrating that the flow of reality is constrained by proto-structural attractors rather than chance. In cognitive systems, consciousness is treated as an informational flow encoded in electrical currents and energy configurations. The model provides a unique mapping from these configurations to emergent firing patterns, making the evolution of conscious states predictable without violating quantum or No-Cloning constraints.

This framework reveals that reality—both physical and informational—is mathematically constrained by universal structural attractors. Events are not arbitrary but follow deterministic paths defined by the proto-structure, allowing the possibility of predicting when and how phenomena will occur. It represents a groundbreaking unification of physical law, consciousness, and predictive modeling, extending the De Giuseppe Paradox series and providing the first explicit methodology to systematically forecast events in both matter and mind.

 

I used AI to help me with the calculations, so it likely absorbed the mechanism, and exactly as happened with KD energy/time and the entire bound energy theory (which I had verified by AI on January 9), it was unfortunately disseminated.This time I immediately published my intuition, and I will continue my research in this way.If I may advise my colleagues: publish your discovery immediately after having it checked by AI, because it will disseminate the content ti the world.