Communication Mechanisms in Multi-Agent System
The communication mechanisms are the methods that help in enabling proper communication among the agents. They have physical and virtual channels that transmit the messages between the agents. They also contain the algorithms and techniques that are used in encoding and decoding the information. The communication mechanisms can be of two types: Centralised and decentralized mechanisms.
- Centralized Mechanisms: Centralized Mechanisms are the type of mechanisms that rely on a single or few agents that act as coordinators or brokers for communication. In these systems, all communication first passes through these coordinators which will further facilitate the message exchange between the other agents. They usually use the publish-subscribe models where a central repository stores the information and facilitates the communication between the agents.
- Decentralized Mechanisms: Decentralized Mechanisms are the type of mechanisms that agents to communicate with each other directly without any central entities. This type of mechanism distributes responsibilities between all the agents and follows peer-to-peer communication. These mechanisms are more scalable than the centralized mechanisms and also they are more robust and fault-tolerant.
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
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