An Engineer's Approach to the Application of Knowledge Based Planning and Scheduling Techniques to Logistics.

Abstract

The 0-Plan research has achieved a clearer understanding of the components necessary in a flexible planning system and has shown how such components can be combined in a systems integration architecture. The work has determined improved ways to restrict search in a planner by using the knowledge available from modeling an application domain, and it has developed a better characterization of plans as sets of activity constraints, opening up many possibilities for richer distributed, cooperative, and mixed-initiative planning systems in the future. The project has created a prototype implementation and has demonstrated it on a class of realistic applications.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA304053

Entities

People

  • Austin Tate
  • Brian Drabble
  • Jeff Dalton

Organizations

  • University of Edinburgh

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Cyber
  • Ground and Sea Platforms
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Business Administration
  • Command And Control
  • Computational Science
  • Computer Programming
  • Computer Science
  • Computers
  • Deployment
  • Employment
  • Health Services
  • Lisp Programming Language
  • Management Personnel
  • Operations Research
  • Personnel Management
  • Plastic Explosives
  • Systems Engineering
  • United States Transportation Command

Readers

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  • Systems Analysis and Design