AN INTRODUCTION TO MULTIAGENT SYSTEMS
时间: 2024-02-10 07:58:36 浏览: 28
Multiagent systems (MAS) are a type of artificial intelligence that involves multiple agents working together to achieve a common goal. These agents can be software programs or physical robots, and they may have different capabilities, knowledge, and goals. The agents in a MAS are typically autonomous, meaning that they can make decisions and take actions independently, but they also interact with each other to achieve a shared objective.
MAS have a wide range of applications, including in transportation, manufacturing, healthcare, and finance. In transportation, MAS can be used to optimize traffic flow and reduce congestion. In manufacturing, MAS can coordinate the activities of robots on the production line to improve efficiency. In healthcare, MAS can assist doctors in diagnosing and treating patients. In finance, MAS can be used to detect fraudulent transactions and manage risk.
To design and implement a MAS, developers must consider various factors such as the communication protocols among agents, the decision-making processes, and the mechanisms for resolving conflicts. MAS can be challenging to build because of the complexity of coordinating multiple agents with different goals and behaviors. However, they offer significant advantages over single-agent systems, including greater flexibility, robustness, and scalability.