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Title: Classification of command and control messages througth the use of AI techniques

Conference ·
OSTI ID:7264476

The US Army's Tactical Command and Control System (ATCCS) is currently in development. To facilitate early system experimentation, the Army established the ATCCS Experimentation Site (AES) at Fort Lewis, WA. The AES provides a capability for material and combat developers to experiment with systems and subsystems so problems can be identified and corrected at the earliest possible point in system development. Systems and subsystems are subject to experimentation in both the field and the laboratory. The field tests typically involve large-scale command post exercises (CPXs), during which automated command and control (C2) system message traffic may be captured and subject to analysis. This can involve thousands of messages, and to analyze their content it is necessary for humans to read each message and classify the content based on a standardized taxonomy. Although this process has been successful, it requires considerable time and effort. Several approaches have been used to reduce the time and the amount of human effort needed. This paper describes work performed by the Pacific Northwest Laboratory in support of the AES's efforts to develop an efficient technique for categorizing and analyzing the content of C2 system message traffic. The paper is divided into five major sections. The first section provides background on the problem faced by the AES and previous attempts to solve that problem. The second section describes the goals and objectives of the current effort. The third section describes the methodology used and provides insight into the data sources, preprocessing of the data, and the tools used in the analysis. The fourth section provides emerging results of the effort, and the final section describes possible future efforts.

Research Organization:
Pacific Northwest Lab., Richland, WA (United States)
Sponsoring Organization:
USDOD; Department of Defense, Washington, DC (United States)
DOE Contract Number:
AC06-76RL01830
OSTI ID:
7264476
Report Number(s):
PNL-SA-20801; CONF-9206239-2; ON: DE92019103
Resource Relation:
Conference: 60. Military Operations Research society symposium, Monterey, CA (United States), 23-25 Jun 1992
Country of Publication:
United States
Language:
English