Title :
Collaborative incremental model development for an adaptive model-driven planning system
Author :
Mulvehill, Alice ; Rager, David ; Bostwick, Renu
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;
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
DOI :
10.1109/CogSIMA.2012.6188381