Abstract

A central concern with utilizing CIE to accelerate C2 is developing an encompassing knowledge centric holistic target characterization (HTC) that fully addresses the mission objective while utilizing second order and higher effects. This presents a problem as an HTC using multiple order effects can quickly become unmanageable. The manner in which the vast amounts of HTC information are visualized can be a multiplier of the overall CIE performance. Thus HTC visualization requires a methodology for approximating the hard problem of maintaining the highest degree of the commander's intent while minimizing the size of the HTC. The CIE HTC development process can be modeled as a set of conversations between HTC development staff and stakeholders building a knowledgebase of product from which an HTC can be synthesized with regards to the mission objective. Without providing mechanisms for representing the actionable knowledge contained in the mission objective there is no guaranteed visualization which will discover the highest value information. Decision support guided visualization improves this process by sorting the visualization options according to the mission objective. Developing a well-formed actionable knowledge representation that maintains commander’s intent can improve the resultant HTC by using actionable knowledge guided visualization throughout the CIE process.

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10th ICCRTS - Track 5

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