Context-Driven Proactive Decision Support Concepts, Algorithms and Protocol for Agile Mission Planning in C4ISR
Abstract
Rapid mission planning, re-planning and execution are major operational problems inhighly dynamic, asymmetric, and unpredictable mission environments. The proposed researchseeks to develop and test context-driven decision support concepts that will represent, infer andcommunicate operational context for agile resource management in dynamic mission planning.Our research focus will be on the dynamic planning/re-planning processes associated with a broad range of maritime operations involving manned, unmanned and undersea systems. UCONN’s research approach will consist of developing: 1) Adaptive model-based dynamic graph models and the concomitant inference algorithms for context representation, inference and forecasting; 2) Information selection, valuation and prioritization methods for context-driven operations; 3) An efficient and effective data communication protocol for context-driven operations; and 4) Validation of proactive decision support concepts for courses of action recommendations across two representative maritime operations.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 21, 2018
- Source ID
- N000141612036
Entities
People
- Krishna R. Pattipati
Organizations
- Office of Naval Research
- United States Navy
- University of Connecticut