Multi-Agent Systems (MAS) are computational systems composed of multiple autonomous agents that interact with each other to achieve individual or collective goals. 🤖
Key Concepts
- Autonomy: Each agent operates independently, making decisions based on its own goals and environment.
- Communication: Agents exchange information via protocols (e.g., HTTP, MQTT) to coordinate actions.
- Negotiation: Agents collaborate or compete to resolve conflicts and allocate resources.
- Emergent Behavior: Complex systems arise from simple interactions between agents.
Core Components
- Agent Architecture
- Perception, decision-making, and action modules.
- Environment
- Physical or virtual space where agents operate.
- Interaction Protocols
- Rules governing how agents communicate and cooperate.
Applications
- Smart Homes 🏠: Devices like thermostats and lights act as agents to optimize energy use.
- Traffic Management 🚗: Autonomous vehicles negotiate routes in real-time.
- Game AI 🎮: Non-player characters (NPCs) simulate intelligent behavior.
For deeper insights, explore our Multi-Agent System Tutorial.