Inference and Optimization in Navy Planning Systems

Abstract

In the proposed research, we develop software and concomitant algorithms for intelligent, proactive, and automated decision support in Navy planning systems. The algorithms act as the conduit for course of action recommendations for multi-domain warfare battlespace management. Additionally, we investigate Human-Artificial Intelligence symbiosis to enhance the algorithms with efficient hybrid human-machine effort allocation for maximized alignment of the decision with the Commanders intent, human preferences, and dynamic context.

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Document Details

Document Type
Technical Report
Publication Date
May 17, 2022
Accession Number
AD1169293

Entities

People

  • David Sidoti

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Boundaries
  • Collision Avoidance
  • Collisions
  • Command And Control
  • Command And Control Systems
  • Computations
  • Contracts
  • Department Of Defense
  • Detection
  • False Alarms
  • Geometry
  • Grids
  • Heuristic Methods
  • Information Operations
  • Latitude
  • Leading Edges
  • Linear Programming
  • Longitude
  • Nonlinear Programming
  • Optimization
  • Social Sciences
  • Standards
  • Trailing Edges
  • World Geodetic System

Fields of Study

  • Computer science

Readers

  • Operations Research
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy