August 7, 2025 8:00 AM (GMT+7) → 12:20 PM
“Building a Multi-Agent System (MAS)” is a powerful and foundational research topic in AI, distributed systems, and complex adaptive systems. It’s relevant to robotics, simulations, games, smart environments, and autonomous systems.
Let’s walk through this topic from a research and implementation perspective:
A Multi-Agent System consists of multiple interacting agents—each with autonomy, partial knowledge, and a specific goal—operating in a shared environment.
| Area | Example Application |
|---|---|
| Robotics | Drone swarms, warehouse robots |
| Games/Simulations | Strategy games, traffic flow, social behavior modeling |
| Smart Environments | Smart grids, smart cities, IoT |
| Healthcare | Multi-doctor consultation systems, hospital resource management |
| E-commerce | Negotiation between buyer/seller agents, recommender agents |
| Component | Description |
|---|---|
| Agent | Autonomous unit with sensors, logic, and actions |
| Environment | Where agents act and perceive (can be physical or simulated) |
| Communication Protocol | Defines how agents share info (e.g., FIPA-ACL, JSON, MQTT) |
| Coordination Mechanism | Centralized, decentralized, market-based, swarm-like |
| Decision Models | Rule-based, ML-based, RL, logic programming |
| Middleware/Platform | Manages agent life-cycle, messages, etc. (e.g., JADE, MESA, SPADE) |