MehrAgentenSystemen

MehrAgentenSystemen, often translated as Multi-Agent Systems (MAS), refers to a computational approach where multiple interacting entities, known as agents, collaborate to achieve common goals or solve complex problems. These agents are autonomous and can perceive their environment, make decisions, and act independently. The interactions between agents can take various forms, including communication, negotiation, and cooperation.

The field of MehrAgentenSystemen draws upon concepts from artificial intelligence, distributed computing, and economics. Agents in a MAS can be designed to be homogeneous, meaning they all share the same capabilities and behaviors, or heterogeneous, possessing different roles, knowledge, and functionalities. The design of MAS often involves addressing challenges such as coordination, conflict resolution, and emergent behavior, where complex global patterns arise from simple local interactions.

Applications of MehrAgentenSystemen are diverse and span numerous domains. They are employed in areas like robotics, where multiple robots coordinate to perform tasks; in logistics and supply chain management, for optimizing resource allocation and scheduling; in intelligent transportation systems, to manage traffic flow and autonomous vehicle coordination; and in e-commerce, for facilitating automated negotiation and matchmaking. The ability of MAS to handle decentralized control and adapt to dynamic environments makes them a powerful paradigm for solving complex, real-world problems.