Training system and method based on cognitive models

An automated training system, said system comprising:

• a processor;
• a data bus coupled to said processor;
• and
• a computer-usable medium embodying computer code, said computer-usable medium being coupled to said data bus, said computer program code comprising instructions executable by said processor and configured for:
• measuring a performance of a trainee with respect to a plurality of cognitive information processing stages and in association with a simulation environment in order to derive performance data and thereafter evaluate a functional efficiency of said plurality of cognitive information processing stages in real-time based an action of said trainee;
• modifying at least one scene, wherein a-priori generated queries and scene dependent queries that are relevant to a current task are dynamically presented to measure said functional efficiency of said plurality of cognitive information processing stages;
• automatically providing real-time feedback to said trainee based on said performance data with respect to said plurality of cognitive information processing stages;
• and
• dynamically generating at least one scene among a plurality of scenes with a level of complexity based on said measured performance data indicative of said functional efficiency of said plurality of cognitive information processing stages, wherein said at least one generated scene is configured to train a plurality of low level skills necessary for building toward a higher level skill.

A non-transitory computer-usable medium for automated training, said computer-usable medium embodying computer program code, said computer program code comprising computer executable instructions configured for:

• measuring a performance of a trainee with respect to a plurality of cognitive information processing stages and in association with a simulation environment in order to derive performance data and thereafter evaluate a functional efficiency of said plurality of cognitive information processing stages in real-time based an action of said trainee;
• modifying at least one scene, wherein a-priori generated queries and scene dependent queries that are relevant to a current task are dynamically presented to measure said functional efficiency of said plurality of cognitive information processing stages;
• automatically providing real-time feedback to said trainee based on said performance data with respect to said plurality of cognitive information processing stages;
• and
• dynamically generating at least one scene among a plurality of scenes with a level of complexity based on said measured performance data indicative of said functional efficiency of said plurality of cognitive information processing stages, wherein said at least one generated scene is configured to train a plurality of low level skills necessary for building toward a higher level skill.