Communication Strategies for Multi-Agent System
Communication Strategies can be defined as the policies that optimize communication among agents. They help determine the when, what, and how the communication should happen based on the goals and preferences of the agents.
The communication strategies are of two types based on their nature and alignments of the agents:
- Cooperative Strategies: The goal of the cooperative strategies is to achieve mutual benefits to all agents while the goal of the competitive strategies is to achieve individual advantages. The cooperative strategies use negotiation mechanisms and collaboration techniques. The competitive strategies use deception and manipulation techniques.
- Competitive Strategies: Cooperative strategies always prioritize collaboration and collective success among all agents. Competitive strategies always prioritize the agents to pursue their interests and need to outperform other agents in the environment.
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