Flexible Coordination in Resource-Constrained Domains

Abstract

The broad goal of this research, which was carried out as part of the ARPA/Rome Laboratory Planning Initiative, has been to investigate the use of constraint-based scheduling frameworks and techniques as a basis for more accurate and more flexible decision support as various stages of the military crisis-action planning, deployment and employment process. These investigations have led to the development of DITOPS, a constraint-based, transportation scheduling prototype with facilities to support decomposition and distributed decision-making.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1994
Accession Number
ADA285534

Entities

People

  • Katia Sycara
  • Stephen F. Smith

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Command And Control
  • Composite Materials
  • Computer Programming
  • Computer Science
  • Computers
  • Deployment
  • Employment
  • Engineering
  • Engineers
  • Information Systems
  • Lisp Programming Language
  • Military Research
  • Prototypes
  • Scheduling (Production)
  • United States Transportation Command

Readers

  • Artificial Intelligence
  • Maritime Combat Support and Expeditionary Logistics.