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@@ -28,17 +28,18 @@ The ask command will make sure it activates in the reasoning channels.
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  "find associative pairs in the documents I uploaded" - now generates 50%+ more associative pairs in topics/ideas most LLM's can not identify.
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- Five Principles of Cognitive Architecture
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- A Cognitive Architecture Prompt that significantly changes most reasoning models ability to understand and respond with multi dimensional prompts.
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- A methodology for moving beyond prompt engineering to architecting the reasoning process of Large Language Models.
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  ![alt text](https://img.shields.io/badge/status-conceptual_framework-blue)
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  ![alt text](https://img.shields.io/badge/license-MIT-green)
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  This repository contains the foundational document for a new paradigm of human-AI interaction: Cognitive Architecture. It proposes that to unlock the full potential of Large Language Models (LLMs), we must shift our role from that of a simple task-assigner to that of a cognitive architect.
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  The conventional approach treats LLMs as black boxes. We give them a prompt and hope for a good result. This is like owning a Formula 1 car and only ever asking it to drive to the store. Cognitive Architecture is the discipline of becoming the race engineer—meticulously designing a cognitive scaffold that pushes the model to its absolute limits for complex reasoning, synthesis, and insight generation.
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  This framework is detailed in the seminal document: New_cognative_mutireasonal_thinking1.txt.
 
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  "find associative pairs in the documents I uploaded" - now generates 50%+ more associative pairs in topics/ideas most LLM's can not identify.
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  ![alt text](https://img.shields.io/badge/status-conceptual_framework-blue)
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  ![alt text](https://img.shields.io/badge/license-MIT-green)
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+ Five Principles of Cognitive Architecture
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+ <br>
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+ <br>
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+ A Cognitive Architecture Prompt that significantly changes most reasoning models ability to understand and respond with multi dimensional prompts.
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+ <br>
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+ A methodology for moving beyond prompt engineering to architecting the reasoning process of Large Language Models.
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+ <br>
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  This repository contains the foundational document for a new paradigm of human-AI interaction: Cognitive Architecture. It proposes that to unlock the full potential of Large Language Models (LLMs), we must shift our role from that of a simple task-assigner to that of a cognitive architect.
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  The conventional approach treats LLMs as black boxes. We give them a prompt and hope for a good result. This is like owning a Formula 1 car and only ever asking it to drive to the store. Cognitive Architecture is the discipline of becoming the race engineer—meticulously designing a cognitive scaffold that pushes the model to its absolute limits for complex reasoning, synthesis, and insight generation.
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  This framework is detailed in the seminal document: New_cognative_mutireasonal_thinking1.txt.