Information Driven, Adaptive Distributed Planning

Abstract

This project seeks to use agent-based systems for the large-scale management of ISR assets by combining dynamic, constraint-based coordination with learning technology and adaptation strategies. The goals of this effort are to (1) develop distributed technologies that can identify patterns in behavior (learn) and (2) exploit these patterns to devise coordinated strategies to maximize goal completion with minimal cost (adapt).

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 06, 2016
Source ID
FA87501610253

Entities

People

  • Roger Mailler

Organizations

  • Rome Laboratory
  • United States Air Force
  • University of Tulsa

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Distributed Systems and Data Platform Development
  • Military Science and Technology Research and Modernization.