Whitepaper 3: The Relational Logic Engine (RLE)

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Authors: Vincent J. Hausmann
Cited by: 0

Abstract

This record documents the architectural design of a reasoning framework intended to control ambiguity in high-entropy information environments. The work describes classification logic, state management patterns, and audit safeguards used to prevent narrative bias and uncontrolled inference. This document does not claim discovery of new physical laws, medical findings, or real-world efficacy. All results are internal classifications (TRUE / NOT-TRUE / FALSE) within a bounded reasoning framework. No external validation is asserted.

Fields of Study & Subjects

Logic Reasoning and Knowledge Diverse Interdisciplinary Research Studies AI-based Problem Solving and Planning

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 January 2026