Probabilistic decision making system and methods of use
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United States of America Patent
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Nov 24, 2020
Grant Date -
Jul 10, 2014
app pub date -
Dec 30, 2013
filing date -
Mar 12, 2008
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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.
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