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 andchanging 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. The Modus Operandi Team of the University of New Mexico,Lockheed-Martin, and Intelligent Software Solutions proposes to develop an ASW Find-to-Forecast (ASW F2F) methodology, architecture and initial operational capability that use mission-specific ontologies, vocabularies, grammars andreasoning 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 hard and soft ASW information sources; -filter out irrelevant information quickly; -format relevant information as standardized knowledge ; -fuse normalized intelligence based on a mission ontology; -focus operator attention on fused information related to his AOR; and -forecast potential courses of action based on hybrid reasoning techniques.