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Artificial intelligence has transformed from a singular concept into a complex network of systems that efficiently solve problems. The Multi-Agent AI System stands out as a significant advancement, enabling multiple AI agents to collaborate on challenging tasks. This framework enhances adaptability and efficiency, allowing for the tackling of complex issues that a single AI entity would struggle with.
Multi-Agent AI Systems consist of autonomous agents that communicate and coordinate their actions to achieve shared goals. These systems have practical applications across various sectors, including healthcare, e-commerce, and smart cities, showcasing their versatility. The development of these systems is supported by frameworks like JADE and ROS, which facilitate the creation and management of multi-agent environments.
• Multi-Agent AI Systems enhance problem-solving through agent collaboration.
• Frameworks like JADE and ROS support the development of multi-agent systems.
A framework where multiple AI agents collaborate to solve complex tasks efficiently.
Units within a multi-agent system that operate independently while coordinating with others.
Rules that govern how agents share information to ensure effective collaboration.
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