THIS PROJECT WILL DEVELOP THE ARCHITECTURE FOR A PROTOTYPE INTELLIGENT EMBEDDED TRAINER FOR A P-3C SENSOR STATION OPERATOR.

THIS PROJECT WILL DEVELOP THE ARCHITECTURE FOR A PROTOTYPE INTELLIGENT EMBEDDED TRAINER FOR A P-3C SENSOR STATION OPERATOR. THE EMBEDDED TRAINER PROVIDES THE OPERATOR WITH SIMULATED ANTI-SUBMARINE WARFARE (ASW) PROBLEMS TO SOLVE, AND PROVIDES ADDITIONAL TRAINING AS NEEDED BY DIAGNOSING THE SOURCES OF ERRORS OR POOR PERFORMANCE IN THE SIMULATED PROBLEMS. THIS DIAGNOSIS IS DONE BY COMPARING THE OPERATOR'S RESPONSES AGAINST A SET OF SOLUTION TEMPLATES GENERATED FROM A KNOWLEDGE BASE OF RULES ELICITED FROM EXPERT SENSOR OPERATORS AND TRAINING PERSONNEL. WHEN THE OPERATOR'S RESPONSES DIFFER FROM THE EXPERT TEMPLATES, THE INTELLIGENT TRAINER DIAGNOSES THE AREAS OF KNOWLEDGE WHERE THE OPERATOR IS WEAK, AND GENERATES ADDITIONAL SIMULATION PROBLEMS THAT PROVIDE ADDED PRACTICE IN THE AREAS OF DEFICIENCY.