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
ðŸ Flocking Behavior
- Coordinated movement of agents, mimicking animal swarms
- Ideal for simulations with multiple entities
ðŸ—ºï¸ Pathfinding (A* Algorithm)
- Implementation of the A* algorithm to find optimal paths
- Ensures agents avoid obstacles and reach goals efficiently
âš¡ 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.
