This invention describes a computer program designed to improve project management. It works by analyzing specific risks that could cause delays or cost overruns for each project task, then optimizes how resources are assigned to those tasks to maximize the chance of finishing on time and within budget. A key aspect is its ability to adapt: as a project unfolds, it updates its understanding of risks and dynamically re-allocates resources for better outcomes.
Why it matters: Filed before widespread cloud computing and mature machine learning libraries. Modern cloud infrastructure makes the complex quantitative analysis and dynamic optimization computationally feasible and affordable, while advanced ML tools simplify implementing adaptive models like Bayesian Belief Networks.
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