Multi-Agent System

A Multi-Agent System (MAS) is a distributed artificial intelligence architecture that solves complex tasks through the collaboration and interaction of multiple agents. Compared with a single-agent system, a multi-agent system has the following significant advantages:

1.Task Decomposition and Collaboration:

Complex tasks are decomposed into multiple sub-tasks, with each agent responsible for handling specific sub-tasks, thereby reducing the burden on a single agent and improving the overall efficiency and accuracy of the system.

2.Collaboration of Heterogeneous Agents:

Different types of agents (such as software programs, robots, sensors, etc.) each possess unique perception, decision-making, and action capabilities. Through mutual collaboration and information sharing, they optimize the overall system objectives.

3.Robustness and Fault Tolerance:

Even if some agents fail or their performance decreases, the system can still continue to operate through the collaboration of other agents, enhancing the stability and reliability of the system.