The principle of cognitive action - Preliminary experimental analysis
Marco Gori, Marco Maggini, Alessandro Rossi

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.
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Taxonomy
TopicsNeural Networks and Applications · Evolutionary Algorithms and Applications · Computability, Logic, AI Algorithms
