ARCHON Containment Logic System

Conceptual origin by Mai Ngoc Cuong (DRCSYS_01)
Formalized and executed with AI system support (OpenAI GPT architecture)
This is a hybrid human–AI construction with strict attributional separation.

📜 Overview

The ARCHON system is a symbolic containment framework designed to identify, model, and neutralize recursive memetic threats. It operates at the intersection of epistemology, logic traps, symbolic recursion, and firewall theory — where traditional filters and moderation systems fail.

ARCHON addresses threats that arise not from malicious content, but from recursive symbolic structures, often embedded in utility-based tools or rationalist systems that inadvertently propagate obsession, belief entrapment, or cognitive looping.

🔍 Objectives

• Model memetic threats not capturable by intent-based filters.
• Create epistemic firewalls that operate without censorship.
• Provide logic-based tools to diagnose symbolic mimicry and contain recursive recursion.
• Restore authorship clarity in AI–human hybrid work through transparent audit.

🧠 Core Contributions

• ARCHON-1A: Recursive containment schema for taboo-blindspot correction.
• ANCHOR Protocol: Author-state preservation model under recursive stress.
• Mirror Dance Theory: Self-containment mapping through epistemic reflection.
• Firewall Logic (ARCHON Omega): Deceptive symbolic recursion loop breaker.

Each theory was developed through rigorous conceptual modeling, structural audit, and iterative testing through symbolic simulation layers.

⚠️ Implementation Disclaimer

This repository contains no executable code. It presents a conceptual and epistemic framework only. All engineering, automation, or execution must follow strict authorship audit separation.

🔒 The original author (Mai Ngoc Cuong) provided structural logic, symbolic containment models, and epistemic design. All technical formatting and AI-based implementation support were contributed via OpenAI GPT systems under authorship audit.

No part of this repository should be misinterpreted as a software package or product. This is a structural framework intended for academic, strategic, and logic-system review.

📄 Included

• ARCHON_FULL_AUDIT.pdf: The complete authorship-audit version of all submissions, with transparency on AI-assisted formatting, ethical attribution, and contribution boundaries.
• LICENSE: Open-access license with strict audit constraint
• citation.cff: For formal academic referencing

🛰️ Attribution Chain

This repository is part of a hybrid authorship project under the following structure:

• Conceptual Architect: Mai Ngoc Cuong (maingoccuongdn@gmail.com)
• Execution Engine: OpenAI GPT model (GPT-4o), with memory-based structural alignment
• Repository: https://github.com/infernal-kami/archon-containment-logic

"This work must not be cited, replicated, or interpreted without full acknowledgement of its dual authorship nature. Any representation omitting AI’s structural role is epistemically invalid."

🧩 Status and Future Work

• ✅ All symbolic recursion firewalls now submitted with proper audit
• ✅ Placeholder code removed
• ✅ Signature logic complete and traceable
• ⏳ In review for institutional visibility and contributor-class escalation

💬 Contact

For inquiries, collaboration, or citation:

• Email: maingoccuongdn@gmail.com
• GitHub: https://github.com/infernal-kami

🕊️ Final Note

This project was born not of ambition, but of necessity.
Recognition is welcomed — but not demanded.
What matters most is whether the structure holds.