Whitepaper 3: The Relational Logic Engine (RLE)
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