Most modern warfighter simulations require users to interact with the simulation through a role player who acts as a member of the military training audience but is actually a supplement to the computer simulation. This human's job is to provide the voice of the simulation and to serve as a translator from tactical orders into computer executable commands. In large staff training exercises, these role players are being partially replaced by the use of direct simulation-to-C4I interfaces. However, in lower-level operational training scenarios, the training audience must interact via spoken voice using radio equipment. Chat-Bot technologies have the potential to replace role players who must speak to the training audience. Our research has been in identifying the best chat-bots for this application and creating databases that can drive these chat-bots for military training. Applying these technologies also requires the integration of a number of different software applications, which is the secondary focus of our research. Although Chat-Bot technology still has a long way to go in the field of parsing and responding to conversational natural language, the technology has developed enough to handle the structured forms of military radio communications. By modifying the AI of the Chat-Bot to handle these communications the Chat-Bot can interact with the user via formatted radio messages. The Chat-Bot can then be attached to the AI of the SAF and act as its command interface. The command staff can then send radio messages to the SAF, just as they would with real forces, and the SAF would act accordingly. Currently these radio messages must be text based, however given the available technology and advances in voice recognition software these interactions may soon be performed via voice or radio transmissions. A Battalion could set up their Tactical Operations Center and command real and virtual units over the same radio network operating as they would in wartime.
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