What is a multi-agent system (MAS)?
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A Multi-Agent System (MAS) is a computational system composed of multiple interacting agents that work together or independently to solve problems, achieve goals, or simulate complex environments. Each agent in the system is an autonomous entity, capable of perceiving its environment, processing information, making decisions, and taking actions. Agents may represent software processes, robots, humans, or even virtual entities.
The strength of MAS lies in distributed problem-solving. Instead of relying on a single centralized system, tasks are divided among agents, which can cooperate, coordinate, or sometimes compete. This makes MAS more scalable, flexible, and robust against failures. For example, in a logistics network, multiple agents may represent trucks, warehouses, and delivery points, each optimizing routes and schedules collaboratively.
MAS is widely applied in areas like robotics (e.g., swarms of drones working together), economics (market simulations), traffic management, healthcare, gaming, and artificial intelligence research. Key properties of MAS include autonomy (agents act without direct control), social ability (agents communicate with others), reactivity (responding to environmental changes), and pro-activeness (goal-driven behavior).
Overall, a Multi-Agent System models complex, dynamic, and decentralized scenarios more realistically than single-agent or monolithic systems, enabling efficient solutions to real-world challenges through collective intelligence.
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