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Multi-agent Systems

Multi-agent Systems
Photo by Vi Tiểu Bảo / Unsplash


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What is an Agent?

The agent is a software entity that is capable of independent action in order to meet its design objectives.

Multi-agent systems (MAS) are systems composed of multiple agents that interact with each other to accomplish a common task or goal. Multi-agent systems can be used to solve a variety of problems, including those that are difficult or impossible for traditional single-agent systems to solve.

How do multi-agent systems work?

Multi-agent systems consist of a number of agents that are each autonomous and capable of interacting with other agents in the system. The agents in a MAS can be either software agents or robotic agents. The agents in a MAS interact with each other in order to achieve a common goal. The agents in a MAS can be heterogeneous, meaning they can have different capabilities and skills.

What are some applications of multi-agent systems?

Multi-agent systems have a wide range of applications. Some example applications of MAS include:

  • Traffic control
  • Fault diagnosis
  • Distributed robotics
  • Network routing
  • Protein folding
  • Distributed AI  
  • Economic modeling

What are some benefits of multi-agent systems?

Multi-agent systems offer a number of benefits over traditional single-agent systems. Some benefits of MAS include:

  • They can be composed of agents with different capabilities and skills.
  • They can be composed of a large number of agents.
  • They can tolerate the failure of individual agents.

What are some challenges of multi-agent systems?

Multi-agent systems face a number of challenges. Some challenges of MAS include:

  • Coordination: Agents in a MAS must be able to coordinate their actions in order to achieve the MAS’s goals.
  • Communication: Agents in a MAS must be able to communicate with each other in order to coordinate their actions.
  • Trust: Agents in a MAS must be able to trust each other in order to cooperate.

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