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A New Technique Enables Dynamic Replanning of Aeromedical Evacuation,
- Artificial Intelligence Magazine
, 1999
"... We describe an application of a dynamic replanning technique in a highly dynamic and complex domain: the military aeromedical evacuation of patients to medical treatment facilities. U.S. Transportation Command (USTRANSCOM) is the DoD agency responsible for evacuating patients during wartime and peac ..."
Abstract
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Cited by 1 (1 self)
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We describe an application of a dynamic replanning technique in a highly dynamic and complex domain: the military aeromedical evacuation of patients to medical treatment facilities. U.S. Transportation Command (USTRANSCOM) is the DoD agency responsible for evacuating patients during wartime and peace. Doctrinally, patients requiring extended treatment must be evacuated by air to a suitable Medical Treatment Facility (MTF). The Persian Gulf war was the first significant armed conflict in which this concept has been put to a serious test. The results were far from satisfactory -- about 60% of the patients ended up at the wrong destinations. In early 1993, the Department of Defense tasked USTRANSCOM to consolidate the command and control of medical regulation and aeromedical evacuation operations. The ensuing analysis led to TRAC2ES (TRANSCOM Regulating and Command and Control Evacuation System), a decision support system for planning and scheduling medical evacuation operations...
Software agents and Distributed Continual Planning: Towards Geospatial Awareness
, 2002
"... In this paper, we describe a design approach to create complex systems for distributed continual planning using stationary and mobile agents. We also present some interesting problems related to agent's geospatial awareness in the context of distributed continual planning. ..."
Abstract
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In this paper, we describe a design approach to create complex systems for distributed continual planning using stationary and mobile agents. We also present some interesting problems related to agent's geospatial awareness in the context of distributed continual planning.

