Multi-Agent System in C++

Introduction

This project develops a Multi-Agent System with a custom simulation loop, notable for its significant performance improvements. The key aspects implemented are detailed below:

🧠 Body/Mind Separation

• Separates the agent's control logic (mind) from its physical representation (body)
• Allows for greater flexibility and scalability in the simulation

🔄 Finite State Machine (FSM)

• Agents use an FSM to efficiently switch between behaviors
• Adaptation based on conditions and environment

🐝 Flocking Behavior

• Coordinated movement of agents, mimicking animal swarms
• Ideal for simulations with multiple entities

🗺️ Pathfinding (A* Algorithm)

• Implementation of the A* algorithm to find optimal paths
• Ensures agents avoid obstacles and reach goals efficiently

⚡ Optimized Path Calculations

• Dynamic adjustment of calculations based on the required level of detail
• Reduces computational load and improves overall performance

This project lays the foundation for AI simulations and video game applications, offering a robust platform for autonomous agent behavior in dynamic and complex environments.