A curated collection of key theories, methods, and challenges in Artificial General Intelligence (AGI). This project explores diverse approaches to AGI—including symbolic, cognitive, and neural methods—with a dedicated focus on the capabilities, limitations, and future directions of Large Language Models (LLMs).

Scenario-Based Evolutionary Agent Training for Accelerated Skill Development

A comprehensive repository for intelligent software agents research, development, and implementation.

Emotional Understanding Experiments