Dynamic Analysis and Replanning Tool

From Wikipedia, the free encyclopedia

The Dynamic Analysis and Replanning Tool, commonly abbreviated to DART, is an artificial intelligence program[1] used by the U.S. military to optimize and schedule the transportation of supplies or personnel and solve other logistical problems. DART achieved logistical solutions that surprised many military planners. Introduced in 1991, DART had by 1995, offset the monetary equivalent of all funds DARPA had channeled into AI research for the previous 30 years combined.[2][3]


Contents

[edit] Development and introduction

DARPA funded the MITRE Corporation and Carnegie Mellon University to analysis the feasibility of several intelligent planning systems. In November 1989, a demonstration named The Proud Eagle Exercise indicated many inadequacies and bottlenecks within military support systems.[4] In July DART, was previewed to the military by BBN Systems and Technologies, and the ISX Corporation (now part of Lockheed Martin Advanced Technology Laboratories) in conjunction with DARPA's Rome Laboratory.[5] Proposed in November 1990, the military immediately demanded that a prototype be developed for testing. Eight weeks later, a hasty but working prototype was introduced in 1991 to the USTRANSCOM at the beginning of Operation Desert Storm during the Gulf War.[4]

[edit] About DART

DART uses intelligence agents to aid decision support systems located at the U.S. and European Transporation Commands.[2] Dart integrates a set of intelligent data processing agents and database management systems to give planners the ability to rapidly evaluate plans for logistical feasibility. By automating evaluation of these processes DART decreases the cost and time required to implement decisions.[6]

[edit] DART's impact

Directly following it's launch, Dart solved several logistical nightmares, saving the military millions of dollars.[2] Military planners were aware of the tremendous obsticales facing moving military assets from bases in Europe to prepared bases in Saudi Arabia.[4] DART quickly proved it's value by improving upon deliberate plans; plans that the U.S. military had already foreseen. What surprised many observers was DART's ability to adapt plans under crisis environments.[6]

[edit] Further planning agents

DART's success lead to the development of other military planning agents such as:

  • RDA - Resource Description and Access system[6]
  • DPRI - Knowledge-Based Planning and Scheduling Initiative, a successor of DART[7]


[edit] References

  1. ^ AI Military Topics (web). Association for the Advancement of Artificial Intelligence. Retrieved on 2008-02-28.
  2. ^ a b c Reese Hedberg, Sarah (2002). "DART: Revolutionaizing Logistics Planning". IEEE Intelligent Systems 17 (3): 81–83. IEEE. doi:10.1109. 
  3. ^ Lopez, Antonio M.; Comello, Jerome J., Cleckner, William H. (2004). "Machines, the Military, and Strategic Thought". Military Review Sep/Oct: p. 71–74. Fort Leavenworth: U.S. Department of Defense. 
  4. ^ a b c Cross, Stephen E. & Edward, Walker (1994), Zweben, Monte & Fox, Mark S., eds., Intelligent Scheduling, University of Michigan: Morgan Kaufmann, pp. 711-729, ISBN 1558602607, <http://books.google.com/books?id=ry3W5xF8ibUC&pg=RA1-PA712&lpg=RA1-PA712&dq=bbn+systems+and+technologies+dart&source=web&ots=kRc63PNLag&sig=fIx7k9_L8rkJgc0tBUwTo5OtPtU&hl=en#PRA1-PA711,M1> 
  5. ^ Bates, Madeleine; Ellard, Dan; Peterson, Pat; Shaked, Varda. Using Spoken Language to Facilitate Military Transportation Planning (PDF). Retrieved on 2008-02-28.
  6. ^ a b c “JOPES ADP for Transportation Planning”, Joint Staff Officers Guide (U.S. Department of Defense) AFSC Pub 1 (chapter 6.91): p. 631, 1997, <http://www.fas.org/man/dod-101/dod/docs/pub1_97/Chap6.html>. Retrieved on 28 February 2008 
  7. ^ DRPI: DARPA / Rome Laboratory Knowledge-Based Planning and Scheduling Initiative (web). ISX Corporation. Retrieved on 2008-02-28.