Types of Communication in Multi-Agent System
The communication between the agents in a multiagent environment can be of two types:
- Explicit Communication: Explicit communication is a type of communication where the exchange of messages or signals between the agents is done directly through commands, feedback, requests, etc. This type of communication is more precise and efficient but it can be expensive, noisy, and prone to deception.
- Implicit Communication: Implicit communication is a type of communication where the exchange of messages or signals between agents is done indirectly through actions and behaviours. The agents observe the environment and the information is inferred. This type of communication is more robust and scalable but it can be inaccurate, incomplete, and can also be confusing.
Communication in Multi-agent Environment in AI
Communication in a multiagent environment enables information sharing and helps agents coordinate to make decisions collectively as they work towards a common goal. To start with the topic of communication in a multiagent environment in AI, We need to learn what a multiagent environment is and what is a multiagent system. A brief explanation of the agent’s communication and how information is shared will lead to a better understanding of the topic.
Table of Content
- What is a Multi-Agent System?
- Communication in Multi-Agent Systems
- Types of Communication in Multi-Agent System
- Communication Protocols in Multi-Agent System
- Communication Mechanisms in Multi-Agent System
- Communication Strategies for Multi-Agent System
- Challenges in Designing Effective Communication in Multi-Agent System
- Enhancing the communication using the Artificial Intelligence
- Practical Applications of Multi-Agent System
- Conclusion
Contact Us