Agent communication is a fundamental concept in artificial intelligence and robotics, enabling autonomous entities to exchange information and collaborate. Below are key points to understand:
✅ Core Principles
- Decentralized Interaction: Agents operate independently but coordinate through standardized protocols
- Message Passing: Use of structured formats like JSON or XML for data exchange
- Context Awareness: Communication adapts to environmental and situational factors
📌 Applications
- Multi-agent systems in logistics 📦
- Smart home automation 🏠
- AI-driven customer support chatbots 💬
🌐 Technical Stack
| Protocol | Use Case |
|---|---|
| HTTP/HTTPS | Web-based agent interactions |
| ROS (Robot Operating System) | Robotics communication framework |
| MQTT | Lightweight IoT messaging |
For deeper exploration, check our AI Agent Communication Tutorial or Robotics Communication Protocols.
Want to see practical examples? Explore agent collaboration case studies for real-world implementations.