Multi-agent Systems
Multi-agent systems are a framework in artificial intelligence where multiple autonomous entities, or agents, interact and collaborate to achieve individual or collective goals. These agents can communicate, negotiate, and coordinate their actions, often exhibiting complex behaviors that emerge from their interactions. The study of multi-agent systems focuses on understanding how these agents can effectively work together in dynamic environments.
Articles in this topic
-
What is Multi-agent Systems?
Multi-agent systems consist of multiple interacting agents that can work together to solve complex problems. They are designed to handle tasks that require collaboration and coordination among various entities.
-
How does Multi-agent Systems work?
Multi-agent systems operate through the interaction and collaboration of multiple agents, each with specific roles and responsibilities. They utilize communication protocols to share information and coordinate actions.
-
Use Cases of Multi-agent Systems
Multi-agent systems have diverse applications across various domains, including robotics, traffic management, and resource allocation. They enable efficient problem-solving through collaboration and coordination.