What question did this study set out to answer?

To develop Axiom-Trace-Logic (ATL) that ensures decision stability in τ-threshold metric spaces.

May 1, 20260 citationsOpen Access

Axiom-Trace-Logic (ATL): Formal Semantics for Decision Stability in τ-Threshold Metric Spaces

Key Points

To develop Axiom-Trace-Logic (ATL) that ensures decision stability in τ-threshold metric spaces.
Presentation of the theoretical framework for ATL.
Implementation in Python (version 2.0) including core engine and verification suite.
Formal verification of mathematical compliance using a specified test suite.
Constructed a core engine that enforces Theorems 1 and 2.
Developed a verification suite to ensure the mathematical correctness of the engine.
Provided foundational documentation in a comprehensive scientific manuscript.

Abstract

Title: Axiom-Trace-Logic (ATL): Formal Semantics for Decision Stability in τ-Threshold Metric Spaces. Summary: This record provides the complete framework for ATL, including the theoretical manuscript and the reference implementation in Python (v2. 0). Included Files: axiomcoreᵥ2. py: The core engine enforcing Theorem 1 & 2. testₐxiomₑngine. py: Formal verification suite for the engine's mathematical compliance. AxiomATLTimelessMasterᵥ1. 2. pdf: The scientific foundation of the project.

اسأل الذكاء الاصطناعي

Bookmark

View Full Paper

Cite This Study

amine rekab (Wed,) studied this question.

synapsesocial.com/papers/69f443e8967e944ac556709b https://doi.org/https://doi.org/10.5281/zenodo.19898100

اسأل الذكاء الاصطناعي

Bookmark

View Full Paper