| Codette Universal Reasoning Framework | |
| Sovereign Modular AI for Ethical, Multi-Perspective Cognition | |
| Author: Jonathan Harrison (Raiffs Bits LLC / Raiff1982) | |
| ORCID Published, Sovereign Innovation License | |
| Overview | |
| Codette is an advanced modular AI framework engineered for transparent reasoning, ethical sovereignty, and creative cognition. It enables dynamic multi-perspective analysis, explainable decision-making, and privacy-respecting memory—with extensibility for research or commercial applications. | |
| 1. Core Philosophy & Motivation | |
| Individuality with Responsibility: Inspired by “Be like water—individuality with responsibility,” Codette blends adaptive selfhood with ethical governance. | |
| Humane AI: Every module ensures fairness, respect for privacy, and explainable transparency. | |
| Recursive Thought: Insights are generated via parallel agents simulating scientific reasoning, creative intuition, empathic reflection, and more. | |
| 2. Architectural Modules | |
| QuantumSpiderweb | |
| Purpose: Simulates a neural/quantum web of thought nodes across dimensions (Ψ: thought; τ: time; χ: speed; Φ: emotion; λ: space). | |
| Functions: Propagation (spreading activation), Tension (instability detection), Collapse (decision/finality). | |
| # [QuantumSpiderweb class code here] | |
| CognitionCocooner | |
| Purpose: Encapsulates active “thoughts” as persistable “cocoons” (prompts, functions, symbols), optionally AES-encrypted. | |
| Functions: wrap/unwrap (save/recall thoughts), wrap_encrypted/unwrap_encrypted. | |
| # [CognitionCocooner class code here] | |
| DreamReweaver | |
| Purpose: Revives dormant/thought cocoons as creative “dreams” or planning prompts—fueling innovation or scenario synthesis. | |
| # [DreamReweaver class code here] | |
| 3. Reasoning Orchestration & Multi-Perspective Engine | |
| UniversalReasoning Core | |
| Loads JSON config for dynamic feature toggling | |
| Launches parallel perspective agents: | |
| Newtonian logic (‘newton_thoughts’) | |
| Da Vinci creative synthesis (‘davinci_insights’) | |
| Human Intuition | |
| Neural Network Modeling | |
| Quantum Computing thinking | |
| Resilient Kindness (emotion-driven) | |
| Mathematical Analysis | |
| Philosophical Inquiry | |
| Copilot Mode (+future custom user agents) | |
| Bias Mitigation & Psychological Layering | |
| Integrates custom element metaphors (“Hydrogen”, “Diamond”) with executable abilities. | |
| NLP Module: | |
| Uses NLTK/VADER for advanced linguistic & sentiment analysis. | |
| # [UniversalReasoning class code here] | |
| Example Configuration JSON | |
| { | |
| "logging_enabled": true, | |
| "log_level": "INFO", | |
| "enabled_perspectives": ["newton", "human_intuition", "...etc"], | |
| "ethical_considerations": "Always act with transparency...", | |
| "enable_response_saving": true, | |
| "response_save_path": "responses.txt", | |
| "backup_responses": { | |
| "enabled": true, | |
| "backup_path": "backup_responses.txt" | |
| } | |
| } | |
| Perspective Function Mapping Example (“What is the meaning of life?”) | |
| [ | |
| {"name": "newton_thoughts", ...}, | |
| {"name": "davinci_insights", ...}, | |
| ...and so forth... | |
| ] | |
| 4. Logging & Ethics Enforcement | |
| Every layer is audit-ready: | |
| All responses saved & backed up per configuration. | |
| Explicit ethics notes appended to each output. | |
| Perspective-specific logging for future training/audit/explainability. | |
| 5. API and Extensibility | |
| The stack can be packaged as: | |
| Local/CLI interface — fast prototyping/test bench environment. | |
| REST/Web API endpoint — scalable cloud deployment using OpenAPI specifications. | |
| SecureShell Companion Mode — diagnostic/sandboxed usage. | |
| 6. Licensing & Attribution | |
| Protected by the Sovereign Innovation clause: | |
| No replication or commercialization without written acknowledgment of Jonathan Harrison (Raiffs Bits LLC). | |
| References incorporate materials from OpenAI / GPT-x-family per their terms. | |
| Recognized contributors: | |
| Design lead + corpus author: [Your Name / ORCID link] | |
| Acknowledgments to external reviewers and the open-source Python ecosystem. | |
| 7. Future Directions | |
| Codette embodies the transition to truly humane AI—context-aware reasoning with auditability at its core. Next steps may include: | |
| Peer-reviewed reproducibility trials (open notebook science) | |
| Physical companion prototype development (for accessibility/assistive tech) | |
| Community-governed transparency layers—a model ecosystem for next-gen ethical AI. | |