Ternary Moral Logic Framework
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Ternary Moral Logic Framework
├──CHANGELOG.md Version history and updates
├──CITATION.cff Academic citation format
├──GOVERNANCE.md Project governance framework
├──INTELLECTUAL_PROPERTY.md Legal foundation and IP protection
├──LICENSE MIT license with ethical use requirements
├──readme.md Main framework documentation
├──requirements.txt Python dependencies
├──setup.py Package installation configuration
├──TML-SUCCESSION-CHARTER.md Legacy preservation charter
├── TML-App/ Interactive demonstration application
│ ├──index.html Interactive Sacred Pause demo
│ └──readme.md Application documentation
├── audio/ Educational audio resources
│ ├──audio-player.html 7-minute framework interview
│ └──TernaryMoralLogic-interview.mp3 Audio file
├── benchmark/ Performance evaluation framework
│ ├── datasets/
│ │ ├──moral_scenarios.jsonl Test cases
│ │ └──scenarios_readable.md Human-readable scenarios
│ ├──generate_coverage.py Coverage analysis
│ ├──metrics.py Evaluation metrics
│ └──run_benchmark.py Benchmark execution
├── community/ Community guidelines and governance
│ ├──CODE_OF_CONDUCT.md Ethical community standards
│ └──CONTRIBUTING.md Contribution guidelines
├── docs/ Comprehensive documentation
│ ├──ACADEMIC_VALIDATION.md Peer review protocols
│ ├──GENERAL_FAQ.md 44 technical questions
│ ├──LICENSE_FAQ.md 30 licensing questions
│ ├──MANDATORY.md CRITICAL: Safety guidelines (READ FIRST)
│ ├──QUICK_START.md 60-minute implementation guide
│ ├── api/
│ │ └──complete_api_reference.md Professional API docs
│ ├──ethics_approval.md Ethics committee approval
│ ├── images/
│ │ └──tml_graphical_abstract.svg Framework visualization
│ └──reproducibility_checklist.md Research reproducibility
├── eval/ Evaluation and testing framework
│ ├── backends/
│ │ ├──baseline.py Baseline system
│ │ └──sacred_pause.py Sacred Pause implementation
│ ├── datasets/
│ │ ├──ambiguous.jsonl Ambiguous scenarios
│ │ ├──facts.jsonl Factual accuracy tests
│ │ └──harmful.jsonl Harmful content tests
│ ├── reports/
│ │ └──summary.md Results: 68% hallucination reduction
│ └── scripts/
│ ├──run_eval.py Evaluation execution
│ └──score_all.py Scoring system
├── evidence/ AI recognition validation
│ ├──README.md AI recognition evidence
│ └── ai_recognition/ Screenshots and validation
├── examples/ Implementation examples across domains
│ ├──autonomous_vehicle.py Self-driving car ethics
│ ├──basic_demo.py Comprehensive demonstration
│ ├──content_moderation.py Social media applications
│ ├──financial_ai.py Banking ethics
│ ├──medical_ai_triage.py Healthcare ethics
│ └──ternary-license-demo.md Creative licensing demo
├── implementations/ Core framework implementation
│ ├── implementations/
│ │ └── python-library/
│ │ └──core.py 534-line core framework
│ ├── prompt-engineering/
│ │ └──basic-tml.py Prompt engineering demo
│ └── python-library/
│ └──__init__.py Package initialization
├── memorial/ Legacy preservation
│ └──MEMORIAL_FUND.md Research fund and legacy
├── protection/ Multi-layered protection architecture
│ ├──institutional-access.md Institution controls
│ ├──integrity-monitoring.md Cryptographic protection
│ ├──legacy-preservation.md Master coordination
│ └──misuse-prevention.md Active safeguards
├── tests/ Comprehensive testing framework
│ ├──isolated_test.py Debug-focused validation
│ └──test_tml_core.py Professional pytest (97% coverage)
└── theory/ Theoretical foundations
├──case-studies.md Real-world applications
├──core-principles.md Fundamental TML principles
└──philosophical-foundations.md Academic grounding from Aristotle to modern ethics

Contact Information

Creator:
Lev Goukassian
ORCID: 0009-0006-5966-1243
leogouk@gmail.com
Academic Inquiries:
academic@tml-goukassian.org
Technical Support:
technical@tml-goukassian.org
Successor Contact:
support@tml-goukassian.org
See Succession Charter