Intelligent Decision Support Systems for Agile Mission Planning.
Abstract
The key goal of the UCONN proposal, in collaboration with NRL-MMD, is to develop andtransition intelligent, multi-agent, multi-objective optimization-based decision support softwarefor agile planning1 under uncertainty, time pressure and resource constraints. We will use routeplanning, intelligent waterspace allocation, and search path planning as the mission domains fordeveloping this capability. Three key innovations of this effort are: (1) Embedding Uncertaintyreduction and uncertainty management theories from behavioral sciences within adaptive multiobjectivedynamic programming algorithms for agile planning; (2) Quantifying and enhancing thevalue of multi-week METOC forecasts salient to these missions by leveraging the Navy EarthSystem Prediction Capability (ESPC); and (3) Learning the human preference structure usinghuman-in-the-loop data collected at NPS as part of our ongoing Science of AI project, andpupillary signature analysis for human cognitive context tracking using data from NRL-DC. Thework on ESPC will be led by NRLMMD.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2021
- Source ID
- N000142112187
Entities
People
- Krishna R. Pattipati
Organizations
- Office of Naval Research
- United States Navy
- University of Connecticut