Multi-Agent Planning and Scheduling of Ship Auxiliary System Resources Using Expressive Models

Abstract

The performer will extend multi-agent control in two important ways: (1) develop multi-agent planning and scheduling algorithms; (2) extend agent-based reasoning models to include thermal and temporal features.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 25, 2017
Source ID
N000141512309

Entities

People

  • David Scheidt

Organizations

  • Johns Hopkins University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Parallel and Distributed Computing.