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      Reasoning in Euclidean Geometry using Information
      Invariance Principle

      Preprint
      In review
      research-article
        1 ,
      ScienceOpen Preprints
      ScienceOpen
      Euclidean Geometry, Reasoning Algorithm, Binary Data, Information invariance, Reasoning in AI
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            Revision notes

            Some lemmas and theorems regarding the applications of Information invariavnce principle have been added.

            Abstract

            This article presents an introduction to a new logical reasoning method for Euclidean geometry basedon the invariance principle of information (data). Due to this principle, any geometrical configuration(shape or entity) in Euclidean geometry possesses a conserved content of geometrical data that could beexpressed as information bits. On the basis of this principle, we explain what is the content of informationbits and how is the analysis of this content in Euclidean geometry. Every geometric structure is actually aset of information bits that define that structure. We discuss the relationship between bits of informationwith the use of straight edge and compass in Euclidean geometry and show that theorems of Euclideangeometry can be expressed in the term of bits of information. In this regard, we show that the abilityto draw a geometric structure, as well as theorems and propositions related to these structures, can bereduced to the rules of the invariance of information bits, and consequently leads to a new reasoningmethod in Euclidean geometry that can be applied for reasoning algorithms in AI. Based on this principlethe converse of corresponding angles postulate and some of the theorems of constructible numbers andregular polygons are proved with concise proofs.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            29 March 2024
            Affiliations
            [1 ] Independent Researcher;
            Author notes
            Author information
            https://orcid.org/0000-0002-0884-8853
            Article
            10.14293/PR2199.000719.v2
            8fdaa70f-f1c4-47cb-b8f1-f815b13ff1f5

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 23 February 2024
            Categories

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Mathematics
            Euclidean Geometry, Reasoning Algorithm, Binary Data, Information invariance, Reasoning in AI

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