Symmetries Across Disciplines: Foundations for AI and Machine Learning

A small correction: we don’t need logic in the first place, as category theory—and its duality with categorical logic—already supports it.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-15
DOI
https://doi.org/10.5281/zenodo.16883894
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Symmetries Across Disciplines: Foundations for AI and Machine Learning

Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

Symmetries Across Disciplines: Foundations for AI and Machine Learning

article en

Abstract

A small correction: we don’t need logic in the first place, as category theory—and its duality with categorical logic—already supports it.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
Computability, Logic, AI Algorithms
DOIOpen Access PDFOpenAlex
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Symmetries Across Disciplines: Foundations for AI and Machine Learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS