Patent ID: 8655822

Claim:
A computer based system for determining training treatments for a subject, said system comprising: a memory to store at least one action comprising at least one training treatment; a processor capable of executing machine instructions; the machine instructions including means for executing a Partially Observable Markov Decision Process (POMDP) model to create a training policy to determine the at least one training treatment to train a subject on a topic; the means for executing a POMDP model further comprises the POMDP model having at least one state, at least one transition function, at least one reward function, at least one observation and at least one observation function; the at least one state comprises a representation of an expertise state of the subject; the at least one transition function comprises a representation of the probability of an expected changed expertise state of the subject after training the subject on the at least one training treatment; the at least one reward function comprises a representation of at least one objective and at least one cost of training the subject on the at least one training treatment; the at least one observation comprises a representation of a measure of the subject; the at least one observation function comprises a representation of the probability of an expected observation of the subject after training the subject on the treatment; the machine instructions further including a process threshold comprising a measure of a changed state of the subject; and the machine instructions further including means for iterating steps of training the subject, obtaining the at least one observation and applying the training policy to select the at least one training treatment until the process threshold is met.