Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/10194
Title: | Countermobility engineering automation for Force XXI |
Authors: | Butler, Cary D. Doiron, Phillip L. |
Keywords: | Countermobility Engineer automation Force XXI Obstacle planning Military science Military engineering |
Publisher: | Geotechnical Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
Series/Report no.: | Miscellaneous paper (U.S. Army Engineer Waterways Experiment Station) ; GL-97-8. |
Description: | Miscellaneous Paper Abstract: The Army's vision of the future battlefield consists of groups of networked organizations organized around information and information technology that support the capability of reacting to dynamic situations. Today's Tactical Operations Center will evolve into an information warehouse consisting of numerous command and control (C2) systems providing decision makers with the proper information at the precise time. Future commanders will have the ability to access up-to-date information and apply this during their day-to-day operations. Future C2 systems must go beyond the capabilities of today' s information systems. These systems must incorporate Artificial Intelligence-based decision support tools necessary to allow these systems to become a part of the staff rather than just a tool used by the staff. This will enable the commanders and their staffs to generate, modify, and analyze complete, consistent, and robust plans and schedules in real-world, resource-constrained environments. The U.S. Army Engineer Waterways Experiment Station is conducting various research efforts in conjunction with the U.S. Army Engineer School in engineering automation. The Obstacle Planner Software is one such effort focused on countermobility modeling. |
Rights: | Approved for public release; distribution is unlimited. |
URI: | http://hdl.handle.net/11681/10194 |
Appears in Collections: | Miscellaneous Paper |
Files in This Item:
File | Description | Size | Format | |
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MP-GL-97-8.pdf | 4.94 MB | Adobe PDF | ![]() View/Open |