Can Expert System Help Train Tactical Action Officers: Some Experiences from an Early Prototype

摘要

The variety and complexity of modern weapon systems demands great skill on the part of the Tactical Action Officers (TAOs) in correctly analyzing the threat, and taking appropriate countermeasures, during a naval engagement. Not only do the TAOS need to have the rules of engagement at their fingertips but they also need to apply them in an optimum manner, quite often, within extremely short reaction times. It takes considerable time, effort and experience to perfect the art of TAO decision making. This thesis develops a generic model of the TAO decision making process. A prototype TAO expert system is implemented based on the model. The prototype is designed to run on a microcompter. The system is a pioneering effort in applying artificial intelligence towards supporting TAOs in the accomplished of their duties. Furthermore, such a system may also be used for training student TAOs. (Author)