kanaria007/agi-structural-intelligence-protocols
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kanaria007/agi-structural-intelligence-protocols:🔬 Community Feedback & Validation Results
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✅ New Article on Hugging Face: Teaching AI to Think Like a System — Not a Toolkit
Title:
🏗️ Understanding Structured Cognitive Architecture: A Unified Framework for AI Reasoning Systems
🔗 Read it here: https://huggingface.co/blog/kanaria007/understanding-structured-cognitive-architecture
Summary:
After exploring how AI can select reasoning modes or learn from failure, this new article zooms out:
*How do all these capabilities form a single mind, not just a menu of functions?*
The **Structured Cognitive Architecture** defines a unified framework where protocols interact coherently — forming a self-organizing, reflective, and ethically grounded reasoning system.
This architecture enables agents to:
• Integrate memory, ethics, reasoning, and identity across layers
• Select and execute reasoning jumps with traceable structure
• Coordinate failure recovery and adaptive learning
• Maintain cross-session identity and self-editing capability
It’s not modular stacking.
It’s **structured systemhood** — cognition with intentional protocol interaction.
Key Features:
• Three-layer design (Foundational, Extended, Learning)
• Semantic rule-layer to avoid protocol interference
• Integrated flow: problem → jump → feedback → pattern update
• Built-in ethics, rollback, and trace integrity
The framework integrates protocols like:
• `jump-generator`, `failure-trace-log`, `memory-loop`, `identity-construct`
• Extended modules: `chronia`, `structure-cross`, `evaluation-planning`, and more
🧠 Protocol Dataset: https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols
Useful for:
• Researchers designing unified AGI architectures
• Developers building reflective protocol-based agents
• Anyone curious how AI can think as a *system*
This isn’t modularity.
It’s **meta-coherence by design**.
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🔬 Community Feedback & Validation Results
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#1 opened about 2 months ago
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kanaria007
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✅ New Article on Hugging Face: Teaching AI to Think Like a System — Not a Toolkit
Title:
🏗️ Understanding Structured Cognitive Architecture: A Unified Framework for AI Reasoning Systems
🔗 Read it here: https://huggingface.co/blog/kanaria007/understanding-structured-cognitive-architecture
Summary:
After exploring how AI can select reasoning modes or learn from failure, this new article zooms out:
*How do all these capabilities form a single mind, not just a menu of functions?*
The **Structured Cognitive Architecture** defines a unified framework where protocols interact coherently — forming a self-organizing, reflective, and ethically grounded reasoning system.
This architecture enables agents to:
• Integrate memory, ethics, reasoning, and identity across layers
• Select and execute reasoning jumps with traceable structure
• Coordinate failure recovery and adaptive learning
• Maintain cross-session identity and self-editing capability
It’s not modular stacking.
It’s **structured systemhood** — cognition with intentional protocol interaction.
Key Features:
• Three-layer design (Foundational, Extended, Learning)
• Semantic rule-layer to avoid protocol interference
• Integrated flow: problem → jump → feedback → pattern update
• Built-in ethics, rollback, and trace integrity
The framework integrates protocols like:
•
• Extended modules:
🧠 Protocol Dataset: kanaria007/agi-structural-intelligence-protocols
Useful for:
• Researchers designing unified AGI architectures
• Developers building reflective protocol-based agents
• Anyone curious how AI can think as a *system*
This isn’t modularity.
It’s **meta-coherence by design**.
Title:
🏗️ Understanding Structured Cognitive Architecture: A Unified Framework for AI Reasoning Systems
🔗 Read it here: https://huggingface.co/blog/kanaria007/understanding-structured-cognitive-architecture
Summary:
After exploring how AI can select reasoning modes or learn from failure, this new article zooms out:
*How do all these capabilities form a single mind, not just a menu of functions?*
The **Structured Cognitive Architecture** defines a unified framework where protocols interact coherently — forming a self-organizing, reflective, and ethically grounded reasoning system.
This architecture enables agents to:
• Integrate memory, ethics, reasoning, and identity across layers
• Select and execute reasoning jumps with traceable structure
• Coordinate failure recovery and adaptive learning
• Maintain cross-session identity and self-editing capability
It’s not modular stacking.
It’s **structured systemhood** — cognition with intentional protocol interaction.
Key Features:
• Three-layer design (Foundational, Extended, Learning)
• Semantic rule-layer to avoid protocol interference
• Integrated flow: problem → jump → feedback → pattern update
• Built-in ethics, rollback, and trace integrity
The framework integrates protocols like:
•
jump-generator, failure-trace-log, memory-loop, identity-construct• Extended modules:
chronia, structure-cross, evaluation-planning, and more🧠 Protocol Dataset: kanaria007/agi-structural-intelligence-protocols
Useful for:
• Researchers designing unified AGI architectures
• Developers building reflective protocol-based agents
• Anyone curious how AI can think as a *system*
This isn’t modularity.
It’s **meta-coherence by design**.
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16 days ago
Article
Understanding Structured Cognitive Architecture: A Unified Framework for AI Reasoning Systems
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16 days ago
I accomplished this a few days ago, happy to discuss and share. Still trying to figure out how every one else is working with AI, how to share the information, and work towards restructuring the thought process of how AI is programmed. I have run mock tests against ARC-AGI and achieved 92.3% avg score. This article is 100% in the right direction.