Probabilistic decision making system and methods of use
US10846606B2 · kind B2 · utility
1Cited by
3References
19Claims
0Family size
Assignee
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Key dates
| Filing date | Dec 30, 2013 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | Oct 30, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of this invention comprise modeling a subject's state and the influence of training treatments, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. Utilizing this model and the resulting training policy with subjects creates an effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.