Index
PhD Thesis Templates¶
Purpose: Complete dissertation frameworks for Mobius-related research
Audiences: PhD candidates, doctoral advisors, academic institutions
Overview¶
These templates provide structured frameworks for doctoral dissertations exploring recursive intelligence, negentropic economics, and AI alignment. Each template includes chapter outlines, methodology guidance, and citation frameworks.
Available Templates¶
1. PhD in AI Safety: Strange Metamorphosis Loop¶
Path: phd-sml/
Focus: Human-aligned recursive learning through daily reflection
Suggested Titles: - "Bounded Meta-Learning Through Human Reflection: A Daily Protocol for AI Alignment" - "The Strange Metamorphosis Loop: Preventing AI Drift Through Continuous Human Feedback" - "From RLHF to SML: A Paradigm Shift in Human-AI Alignment"
Chapter Outline: 1. Introduction (15-20 pages) 2. Literature Review (40-50 pages) 3. Theoretical Framework (30-40 pages) 4. Methodology (25-35 pages) 5. Implementation (30-40 pages) 6. Experimental Results (40-50 pages) 7. Discussion (20-30 pages) 8. Conclusion (10-15 pages)
Files: - chapter-templates/ — LaTeX templates for each chapter - bibliography.bib — Comprehensive bibliography - thesis-outline.md — Detailed outline
2. PhD in Economics: Negentropic Economics¶
Path: phd-negentropic-economics/
Focus: Thermodynamics-economics unification and debt reduction
Suggested Titles: - "Negentropic Economics: A Thermodynamic Theory of Institutional Debt" - "Entropy, Interest, and Order: Unifying Physics and Economics" - "Debt Reduction Through Negentropy: Theory and Empirical Validation"
Chapter Outline: 1. Introduction (15-20 pages) 2. Literature Review (50-60 pages) 3. Theoretical Framework (40-50 pages) 4. Mathematical Model (35-45 pages) 5. Empirical Methodology (25-35 pages) 6. Results and Validation (45-55 pages) 7. Policy Implications (25-35 pages) 8. Conclusion (10-15 pages)
Files: - chapter-templates/ — LaTeX templates for each chapter - data-appendix/ — Data sources and methodology - bibliography.bib — Economics + physics bibliography
3. PhD in Computer Science: Mobius Cycle Protocol¶
Path: phd-mcp/
Focus: Operationally-enforced AI governance through integrity gates
Suggested Titles: - "The Mobius Cycle Protocol: Systematic AI Safety Through Multi-Sentinel Consensus" - "From Advisory to Enforceable: Cryptographic Attestation in AI Governance" - "Multi-LLM Consensus for AI System Integrity: Design, Implementation, and Validation"
Chapter Outline: 1. Introduction (15-20 pages) 2. Background and Related Work (40-50 pages) 3. System Design (35-45 pages) 4. Implementation (40-50 pages) 5. Evaluation (45-55 pages) 6. Security Analysis (25-35 pages) 7. Discussion (20-30 pages) 8. Conclusion (10-15 pages)
4. PhD in Philosophy: Recursive Ethics¶
Path: phd-ethics/
Focus: Ethical foundations of self-improving AI systems
Suggested Titles: - "The Kintsugi Principle: An Ethics of Visible Repair in AI Systems" - "Recursive Ethics: When Machines Learn to Learn About Values" - "Democratic Alignment: Public Participation in AI Value Formation"
Chapter Outline: 1. Introduction (15-20 pages) 2. Historical and Conceptual Background (50-60 pages) 3. The Alignment Problem (30-40 pages) 4. Recursive Ethics Framework (40-50 pages) 5. The Kintsugi Principle (30-40 pages) 6. Democratic Legitimacy (35-45 pages) 7. Applications and Implications (25-35 pages) 8. Conclusion (10-15 pages)
Common Elements¶
LaTeX Preamble¶
All templates use this common preamble:
\documentclass[12pt,a4paper,twoside]{report}
% Packages
\usepackage[utf8]{inputenc}
\usepackage{amsmath,amssymb,amsthm}
\usepackage{graphicx}
\usepackage{hyperref}
\usepackage{algorithm}
\usepackage{algorithmic}
\usepackage{tikz}
\usepackage{booktabs}
\usepackage{natbib}
% Theorem environments
\newtheorem{theorem}{Theorem}[chapter]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{corollary}[theorem]{Corollary}
\newtheorem{definition}{Definition}[chapter]
% Custom commands
\newcommand{\MII}{\text{MII}}
\newcommand{\GI}{\text{GI}}
\newcommand{\SML}{\text{SML}}
\newcommand{\MCP}{\text{MCP}}
Bibliography Style¶
Recommended: apalike or plainnat
Citation Guidelines¶
When citing Mobius Systems work:
@article{mobius2025sml,
title={Human-Guided Recursive Intelligence: The Strange Metamorphosis Loop},
author={Judan, Michael},
journal={Submitted to NeurIPS},
year={2025},
note={Available at: github.com/kaizencycle/Mobius-Substrate}
}
@article{mobius2025negentropic,
title={Negentropic Economics: Unifying Thermodynamics and Economic Theory},
author={Judan, Michael},
journal={Submitted to Nature Physics},
year={2025}
}
@article{mobius2025mcp,
title={Mobius Cycle Protocol: Operationally-Enforced Recursive Intelligence},
author={Judan, Michael},
journal={Submitted to IEEE TSE},
year={2025}
}
Research Support¶
Data Access¶
PhD candidates may request: - Production data from cycles C-103 to C-148 - Historical economic validation data - MCP attestation records
Contact: academics@mobius.systems
Collaboration¶
Mobius Systems welcomes: - Co-authorship opportunities - Dataset contributions - Replication studies - Advisory relationships
Funding¶
Potential funding sources: - NSF AI Safety grants - NIH computational social science - DOE complex systems research - Private foundations (Open Philanthropy, etc.)
Timeline Guidance¶
Year 1: Foundation¶
- Literature review
- Methodology development
- Initial experiments
- Conference paper
Year 2: Core Research¶
- Main experiments
- Data collection
- Analysis
- Journal paper(s)
Year 3: Completion¶
- Remaining experiments
- Thesis writing
- Defense preparation
- Revisions
Committee Suggestions¶
For SML Dissertations¶
Chair Specializations: - Machine learning - Human-computer interaction - AI safety
Committee Members: - Cognitive science - Ethics/philosophy - Statistics
For Negentropic Economics¶
Chair Specializations: - Macroeconomics - Economic theory - Econophysics
Committee Members: - Statistical physics - Public policy - Econometrics
For MCP Dissertations¶
Chair Specializations: - Software engineering - Distributed systems - AI/ML
Committee Members: - Cryptography - Formal methods - AI governance
Quality Checklist¶
Before submission, verify:
- All theorems have complete proofs
- All claims are supported by evidence
- Methodology is reproducible
- Data is properly cited
- Code is available
- Bibliography is complete
- Formatting follows guidelines
- Acknowledgments included
Contact¶
Academic inquiries: academics@mobius.systems
Data requests: datasets@mobius.systems
Collaboration: founder@mobius.systems
License¶
All templates released under CC0 1.0 Universal (Public Domain).
Adapt freely for your institution's requirements.
"The goal of a PhD is not to prove you know everything, but to demonstrate you can make original contributions to human knowledge."