File size: 4,453 Bytes
7f5ef51 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 |
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.
|