Moniagenttipohjaiset

Moniagenttipohjaiset (Multi-Agent Systems, MAS) are a type of artificial intelligence system composed of multiple interacting intelligent agents. These agents are autonomous entities that can perceive their environment, make decisions, and take actions to achieve their goals. MAS are designed to solve complex problems that are difficult or impossible for a single agent to handle alone.

In MAS, agents can be homogeneous or heterogeneous, meaning they can be identical or have different capabilities and behaviors. They communicate and coordinate with each other to share information, negotiate tasks, and collaborate on problem-solving. This interaction is facilitated through various communication protocols and languages, such as FIPA (Foundation for Intelligent Physical Agents) standards.

MAS are used in a wide range of applications, including robotics, distributed computing, and simulation. They are particularly useful in scenarios where tasks are too large or complex for a single agent, or where the environment is dynamic and unpredictable. Examples include traffic management systems, power grid control, and disaster response coordination.

The design and implementation of MAS involve several challenges, such as ensuring effective communication and coordination among agents, managing agent heterogeneity, and addressing issues related to scalability and robustness. Researchers and practitioners continue to develop new theories, methods, and tools to overcome these challenges and advance the field of multi-agent systems.