Multi-Agent Systems (MAS) are transformative in the field of distributed artificial intelligence. These systems consist of multiple autonomous entities, or “agents,” which interact, cooperate, or compete to achieve specific goals. By leveraging decentralized operations, MAS unlocks innovative solutions for complex, real-world challenges across industries.
What is a Multi-Agent System?
A multi-agent system refers to a group of autonomous entities that operate independently while collaborating to solve problems. Each agent in the system has unique capabilities and knowledge, enabling the group to handle tasks too complex for a single agent. These systems are characterized by:
- Autonomy: Each agent functions without external control.
- Decentralization: No central authority governs the operations.
- Coordination: Agents communicate to ensure goal alignment.
- Adaptability: They dynamically adjust to changes in their environment.
MAS is widely used in applications like robotics, supply chain management, healthcare, and cybersecurity.