This invention describes a system that helps a network of connected computers manage their tasks and operations. It works by first gathering information about the computers, their surroundings, and the network itself. Then, it creates a main plan for how these computers should operate to achieve specific goals. Crucially, it also figures out several backup plans to use if unexpected problems or changes occur, ensuring the operations can continue smoothly by switching to an appropriate backup.
Why it matters: Filed before the widespread adoption of advanced AI for real-time planning and optimization. Since 2020, machine learning, particularly reinforcement learning, has matured to better handle the dynamic parameter analysis and complex, adaptive plan generation required for such a system.
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