The principle of cognitive action - Preliminary experimental analysis

TL;DR

This paper introduces a new theory applying principles of Classical Mechanics and Variational Calculus to Machine Learning, presenting initial implementation and preliminary experimental results to explore its potential.

Contribution

It proposes a novel theoretical framework for Machine Learning based on classical mechanics principles, with initial experiments demonstrating its basic behaviors.

Findings

Initial implementation shows promising basic behaviors.

Preliminary results suggest potential for new ML approaches.

Framework bridges physics and machine learning concepts.

Abstract

In this document we shows a first implementation and some preliminary results of a new theory, facing Machine Learning problems in the frameworks of Classical Mechanics and Variational Calculus. We give a general formulation of the problem and then we studies basic behaviors of the model on simple practical implementations.