Ant Colony Simulation

Ant Colony Simulation (Unreal Engine 5, C++)

Developed an agent-based simulation modeling emergent cave generation using decentralized ant behavior. Each agent operates independently using pheromone-driven logic, enabling the system to form tunnels and chambers without centralized control.

Implemented the core simulation systems in C++, focusing on efficient update loops and data handling to support large numbers of agents running concurrently. Designed pheromone diffusion, decay, and reinforcement mechanisms to drive realistic excavation patterns.

Integrated the simulation output with Unreal Engine’s PCG framework to convert simulation data into procedural 3D cave structures, linking system behavior with visual generation.

This project highlights experience in scalable systems, emergent behavior modeling, and performance-oriented real-time simulation design.

Upcoming:
3D excavation
PCG environment population