DocumentCode
1905881
Title
Collaborative incremental model development for an adaptive model-driven planning system
Author
Mulvehill, Alice ; Rager, David ; Bostwick, Renu
fYear
2012
fDate
6-8 March 2012
Firstpage
1
Lastpage
6
Abstract
Military planners would benefit greatly from a planning system that dynamically incorporates real-world domain information, allowing plans to adapt easily to new information. The Joint Air Ground Unified Adaptive Replanning System (JAGUAR) system provides a model-driven planning paradigm for such a dynamic air mission planning domain. Developing models for this distributed and dynamic environment proved challenging, both for building models that were meaningful for all of the components and for creating models that could be fed in seamlessly to the running system. This paper gives an overview of the lessons learned during the six-year effort of developing adaptive models for the JAGUAR system.
Keywords
groupware; military computing; planning (artificial intelligence); JAGUAR system; adaptive model-driven planning system; collaborative incremental model development; joint air ground unified adaptive replanning system; military planners; real-world domain information; Adaptation models; Aircraft; Atmospheric modeling; Planning; Software; Spirals; Unified modeling language; Collaborative modeling; knowledge representation; model adaptation; planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2012 IEEE International Multi-Disciplinary Conference on
Conference_Location
New Orleans, LA
Print_ISBN
978-1-4673-0343-9
Type
conf
DOI
10.1109/CogSIMA.2012.6188381
Filename
6188381
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