Predictive deconstruction of dynamic complexity

This invention describes a computer method to understand and predict how complex information systems behave. It works by first mapping out all the system's components and their connections, then adding how those components change and interact over time. By simulating this detailed model, the system can predict when the information system might become unstable or inefficient, helping to identify optimal operating conditions.

Why it matters: Filed before widespread adoption of advanced AI/ML for predictive system behavior and anomaly detection. Modern IT architectures have grown significantly more complex since 2020, making AI-driven modeling and simulation of dynamic systems more feasible and critical for operational stability.

Status: In forceA lapse was cured by a late fee and protection was reinstated.
How hard to build: SpecializedHeavy software system, mathematical modeling, system emulation

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