Symbolic Multi-Agent Cognition in Hierarchical Simulation Worlds

This work presents a formal research paper and supporting framework documentation for an independently developed AGI simulation environment under the AxoSync banner. The framework uses symbolic cognitive architectures, multi-agent interaction, and hierarchical simulation layers to explore autonomous reasoning, memory, and emergent behaviors in a closed virtual world.

The research ran autonomously for nearly 3 years in offline conditions and was built using Unity, Soar (symbolic AI), and Python integration. It outlines a novel testbed for AGI and includes a detailed log of behaviors and system architecture.

This release is made openly available under the CC BY-NC 4.0 license to support transparent research, non-commercial use, and collaboration.

Author: Satwik Singh Chauhan

Affiliation: Independent Researcher, AxoSync

Keywords: AGI, simulation, symbolic cognition, multi-agent systems, hierarchical reasoning, autonomous systems, cognitive architecture