Academic Journal

Theoretical Structures as Networks from the Perspective of Automated Creation and Proving of Theorems

Bibliographic Details
Title: Theoretical Structures as Networks from the Perspective of Automated Creation and Proving of Theorems
Authors: Sochi, Taha
Publication Status: Preprint
Publisher Information: Elsevier BV, 2025.
Publication Year: 2025
Subject Terms: traditional network modeling, theoretical physics, Automated theorem proving, automated search for novel theorems, theoretical structures, automated theorem creation, axiomatic structures, pure mathematics, mathematical structures
Description: We envisage theoretical structures (especially in pure mathematics and theoretical physics) as networks made of elementary propositions (representing nodes) interconnected through deductive relationships (representing throats). This vision can be exploited as a basis for employing traditional network modeling techniques in the automated search for new theorems as well as for automated proving of proposed theorems and conjectures. This deductive, deterministic and intuitive approach can replace some of the conventional approaches (which are generally more sophisticated and elaborate and hence they are more expensive) in certain areas of automated and assisted theorem proving in addition to its benefit in the automated search for novel theorems. However, we admit that it has a number of limitations and shortcomings although this similarly applies to other methods in this field; moreover some of these limitations and shortcomings can be overcome by the reformulation of certain theoretical structures where we rely for the viability of this reformulation on our perception of theoretical structures as elaborate high-level linguistic systems.
Document Type: Article
DOI: 10.2139/ssrn.5386398
DOI: 10.6084/m9.figshare.26977051.v1
DOI: 10.5281/zenodo.13760187
DOI: 10.5281/zenodo.13760186
DOI: 10.6084/m9.figshare.26977051
Rights: CC BY
Accession Number: edsair.doi.dedup.....25c087a0fc448fdea7ca9b7fa8f4ceaf
Database: OpenAIRE
Description
DOI:10.2139/ssrn.5386398