ASW Find-To-Forecast

As stated in the topic,"The decision environment in which the Anti-Submarine Warfare Commander must operate during threat prosecution is characterized by severe time pressure, complex, multi-component decision tasks, and rapidly evolving and changing information and situational state."There is therefore an increasing need to extend ASW decision support capabilities with the ability to help operators more rapidly find, filter, format and fuse mission-specific information from both traditional"hard"data sources and non-traditional"soft"data sources to support focused decision making and intelligent forecasting. Modus Operandi and the University of New Mexico propose to develop an Anti-Submarine Warfare Find-to-Forecast (ASW F2F) methodology, architecture and prototype that use mission-specific ontologies, vocabularies, grammars and reasoning capabilities to help ASW operators find and exploit mission-critical information from multi-modal sources, thereby increasing their situational understanding and decreasing their detect-to-engage timelines. ASW F2F will be designed to help operators: find available ASW information sources, both hard and soft; filter out irrelevant information quickly; format relevant information as a standardized knowledge representation; fuse normalized intelligence based on an ASW mission ontology; focus operator attention on fused information related to his AOR; and forecast potential courses of action based on advanced, hybrid reasoning techniques.