SCAN-Resources

This repository contains various files related to the Synthetic Cognitive Augmentation Network (SCAN) project. Below is an overview of its contents:

Forms

Synthetic Cognitive Augmentation Network Alignment Questionnaire.md

This markdown file contains the Synthetic Cognitive Augmentation Network Alignment Questionnaire (SCANAQ), which evaluates various aspects of a user’s cognitive functioning and personal preferences to align the SCAN system with their unique needs.

Sections of the Questionnaire:

• Executive Functioning
• Emotion Regulation
• Impulsivity
• Risk Propensity
• Decision-Making Style
• Self-Efficacy
• Perceived Stress
• Empathy and Social Cognition

Synthetic Cognitive Augmentation Network Alignment Questionnaire (SCANAQ).pdf

PDF version of the SCANAQ questionnaire for easy distribution and printing.

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SCANAQ Numerical Scoring Breakdown.md

This file provides detailed information on scoring and result interpretation for the SCANAQ questionnaire.

Details:

• Scoring Breakdown: A structured approach to categorize responses across cognitive and emotional dimensions.
• Result Interpretation: Guidelines to understand the user’s profile and align it with the SCAN system for personalized support.
• Suggestions: Offers actionable recommendations for improvement based on each score range, enhancing user alignment with SCAN’s functionality.

SCANAQ Scoring Breakdown, Descriptions, and PFC-Inspired Suggestions.pdf

PDF version of the scoring breakdown with comprehensive descriptions and prefrontal cortex-inspired suggestions for cognitive enhancement.

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Cognitive Augmentation User Survey Evaluation.md

This markdown file contains the Cognitive Augmentation User Survey Evaluation (CAUSE), designed to gather user insights to help improve the SCAN system to meet their needs and expectations.

Survey Focus Areas:

1. General User Requirements and Expectations
   • Desired use cases and applications
   • Preferred features and functionalities
2. Perceived Value and Potential Benefits
   • User perceptions of SCAN’s value and its role in cognitive augmentation.
3. User Interface and Experience Preferences
   • Insights into technological proficiency and current tool usage.
   • Accessibility and interface design recommendations.
4. Pain Points and Challenges
   • Identification of areas where users face difficulties.
5. Security and Privacy Concerns
   • Gathering user preferences on data security and privacy policies.
6. Demographics and Pricing Perception
   • Understanding user demographics and their views on pricing.

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PFC Agent Training Data Generation Prompt.md

This file contains prompts and guidelines for generating training data specifically designed for Prefrontal Cortex (PFC) cognitive agents within the SCAN system.

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Training Datasets

This directory contains JSON lines files for training and validation data related to different PFC (Prefrontal Cortex) agents:

Available Datasets:

1. ACC (Anterior Cingulate Cortex):
   • TrainingDatasets/acc_training_data.jsonl
   • TrainingDatasets/acc_validation_data.jsonl
2. DLPFC (Dorsolateral Prefrontal Cortex):
   • TrainingDatasets/dlpfc_training_data.jsonl
   • TrainingDatasets/dlpfc_validation_data.jsonl
3. mPFC (Medial Prefrontal Cortex):
   • TrainingDatasets/mPFC_training_data.jsonl
   • TrainingDatasets/mPFC_validation_data.jsonl
4. OFC (Orbitofrontal Cortex):
   • TrainingDatasets/ofc_training_data.jsonl
   • TrainingDatasets/ofc_validation_data.jsonl
5. vmPFC (Ventromedial Prefrontal Cortex):
   • TrainingDatasets/vmpfc_training_data.jsonl
   • TrainingDatasets/vmpfc_validation_data.jsonl

Each dataset is designed to train and validate SCAN’s cognitive agents to align their functionality with the corresponding areas of the human brain.

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This repository serves as the foundational resource for advancing the SCAN system, aligning its capabilities with user needs, and training cognitive agents to replicate critical functions of the human prefrontal cortex.

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