What is a Multi-Agent System?
An AI multi-agent system is a computational framework where multiple agents work together to achieve a common goal by gathering information from the environment and taking action to reach specific objectives. These agents have learning, adaptability, and decision-making capabilities, and interact and communicate with each other to achieve shared goals. They can be homogeneous or heterogeneous and leverage collective intelligence to solve complex problems. Multiagent systems operate in a multiagent environment, such as a football team working together to win a game. They are used in robotics, smart cities, and social network analysis to enable cooperative behaviour and distributed problem-solving.
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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