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13 August 2004 Software framework in support of dynamic situation assessment and predictive capabilites for JSB-RD
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Abstract
Recent technological advances and emerging threats greatly compress the timeline between target detection and action to an order of a few minutes. As such, decision support tools for today's C4I systems must assist commanders in anticipating potential outcomes by providing predictive assessments of alternate Courses Of Action (COAs). These assessments are supported by faster-than-real-time predictive simulations that analyze possible outcomes and re-calibrate with real-time sensor data or extracted knowledge in real-time. This capability is known as a Dynamic Situation Assessment and Prediction (DSAP) capability. This capability allows decision-makers to assess the effects of re-tasking opportunities, providing the decision-maker with tremendous latitude to make time-critical, mid-course decisions. This paper details the development of a software infrastructure that supports a DSAP capability for decision aids as applied to a Joint Synthetic Battlespace for Research and Development (JSB-RD). This infrastructure supports capabilities that allow objects to be dynamically created, deleted and reconfigured, allows simulations to be calibrated with live data feeds, and provides a reduction in overheads for simulations in order to execute faster-than-real-time in order to provide a predictive capability. In particular, this paper will focus on a Multiple Replication Framework that can be used to support a DSAP infrastructure.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert M. McGraw, Craig Lammers, and Jeffrey S. Steinman "Software framework in support of dynamic situation assessment and predictive capabilites for JSB-RD", Proc. SPIE 5423, Enabling Technologies for Simulation Science VIII, (13 August 2004); https://doi.org/10.1117/12.548375
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