A purpose for a better algorithm - over the Machine Learning

This paper introduces a novel algorithmic framework rooted in Homotopy Type Theory (HoTT), aiming to provide a structured coding architecture that transcends standard machine learning paradigms. By integrating Game Theory and Epistemological Logic, the proposed model treats 'the unknown' as a strategic variable rather than a computational gap. This approach establishes an optimal strategy for balancing cost-to-space ratios, providing a rigorous foundation for more resilient and structured autonomous reasoning." Note: from now, "This version incorporates the official digital signature and replaces all previous unsigned drafts. Commercial rights are strictly reserved to the author. Legal Notice Regarding Licensing:Please note that this version (v3) and its contents are exclusively governed by the Aruba Authorization attached as a supplementary PDF file. This specific authorization supersedes any other license (such as Creative Commons) automatically indicated by the platform's metadata. Users are required to consult the attached "Aruba_Authorization.pdf" for terms of use, reproduction, and distribution. Note: I've been noticing the deprecable situation in which I'm not able to share inputs or ideas,that's why I share my private mail: [e-mail] More,I create a community here on Zenodo https://zenodo.org/communities/robertolombarditheory/records?q=&l=list&p=1&s=10&sort=newest Thanks to all.