Description: SDi has designed an architecture, in accordance with the parameters of N202_126, which utilizes synthetic text generation to simplify the process of scenario inject creation by providing the exercise controller with a software tool that both creates and stores scenario injects. This architecture utilizes Natural Language Processing and Pattern-Exploiting Training to develop user-requested text which maintains the specific properties (grammar, subject, and sentiment) of human-written text. Social Synthesis’ process of Intelligent Context Matching (ICM) is a new hybrid technique developed from proven NLP processes and is designed to be both computationally “lightweight” and simple to implement.
Primary Objective: SDi is developing Social Synthesis to provide Mission Scenario Event List (MSEL) items for use in military and crisis scenario exercises.
Innovation: Social Synthesis utilizes the SDi-developed Intelligent Context Matching system, which allows the generation of synthetic text that can match simple human-generated “starter text” to create a more complex narrative.
SDi has designed a framework to construct Dynamic Environment Modeling for targeting and overlaid it with a cognitive structure that allows an enhanced methodology for the current Decide, Detect, Deliver,…
SDi is developing an innovative way to enhance the capability of both OPFOR and BLUFOR wargame participants by providing a platform that will complement their own operational abilities.