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AIversity: An Adaptive Learning Ecosystem with Multi-Agent AI Tutoring

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Project Overview

AIversity is an innovative adaptive learning system that leverages a multi-agent AI architecture to provide personalized educational experiences. Built upon the ARCANE (Advanced Reasoning Cognitive Architecture for Networked Entities) framework, AIversity aims to revolutionize personalized education through cutting-edge AI techniques.

This project is being developed as part of an MSc program, showcasing the integration of advanced AI concepts into a practical, educational application.

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ARCANE Framework

ARCANE serves as the foundational architecture for AIversity, providing a robust platform for creating intelligent, networked entities. Key features of ARCANE include:

  • Multi-agent system support
  • Advanced reasoning capabilities
  • Flexible communication protocols
  • Integration of large language models (LLMs)

ARCANE is designed to be a versatile framework that can be applied to various AI applications beyond educational systems.

AIversity: Adaptive Learning Ecosystem

Built on the ARCANE framework, AIversity creates a dynamic and interactive learning environment that evolves with each student's journey.

Key Features

  • Personalized assessment and adaptive content delivery
  • Dynamic task decomposition and planning
  • Multi-modal learning experiences
  • Collaborative multi-agent architecture for diverse expertise
  • Continuous refinement of teaching methods

Architecture Components

AIversity's architecture includes several key components:

Iris (Intelligent Routing and Information System)

Serves as the main interface, handling user interactions, triaging requests, and coordinating activities.

Stratos (Strategic Task and Resource Allocation Orchestration System)

Oversees task planning, resource allocation, and agent collaboration.

Dynamic Task Agents

Specialized agents dynamically created for specific learning tasks.

DHATN (Dynamic Hierarchical Adaptive Task Network)

A novel approach to task planning and execution, allowing for flexible and adaptive learning pathways.

Inter-Agent Communication and Collaboration

The system employs sophisticated techniques for agent interaction, including:

  • Asynchronous messaging using NIACL (Natural Interpreted Agent Communication Language)
  • Shared and dynamic workspaces
  • Adaptive reasoning and decision-making
  • LLM-powered cognitive processing

Project Status

AIversity is currently under active development as part of an MSc program. This is an individual project, demonstrating the application of advanced AI concepts in educational technology.

Contributing

As this is an individual academic project, external contributions are not being accepted at this time. However, feedback and discussions are welcome.

License

This project is released under the MIT License.

Contact Information

For inquiries or further information about AIversity, please contact: