Systems with software engines configured for detection of high impact scenarios with machine learning-based simulation and methods of use thereof
US12174729B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 19, 2023 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Jul 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for scenario planning include using specially programmed software engines to simulate and detect particular feature variations leading to particular outcomes based on modeling with machine learning techniques. The systems and methods improve model debugging, simulation efficiency and accuracy, model explainability, identification of high risk or high reward scenarios, among other improvements and combinations thereof. The systems and methods implement computerized optimization techniques applied via variation generation across a dataset of test input records to optimize for feature variation along with outcome variation. Moreover, the systems and methods may provide and/or realize a minimized variation to input data that correspond to a point of transition from one state to another state in an outcome that results from the input data, where the transition to another state is termed a “significant” variation to the output data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.