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Proceedings Paper

Software framework in support of dynamic situation assessment and predictive capabilites for JSB-RD
Author(s): Robert M. McGraw; Craig Lammers; Jeffrey S. Steinman
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Paper 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.

Paper Details

Date Published: 13 August 2004
PDF: 11 pages
Proc. SPIE 5423, Enabling Technologies for Simulation Science VIII, (13 August 2004); doi: 10.1117/12.548375
Show Author Affiliations
Robert M. McGraw, RAM Labs., Inc. (United States)
Craig Lammers, RAM Labs., Inc. (United States)
Jeffrey S. Steinman, RAM Labs., Inc. (United States)


Published in SPIE Proceedings Vol. 5423:
Enabling Technologies for Simulation Science VIII
Dawn A. Trevisani; Alex F. Sisti, Editor(s)

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