Distributed Episodic Exploratory Planning (Deep)

Abstract

This report describes an overview and the progress to date of the Distributed Episodic Exploratory Planning (DEEP) project. DEEP is a mixed-initiative decision support system that utilizes past experiences to suggest courses of action for new situations. It has been designed as a distributed multi-agent system, using agents to maintain and exploit the experiences of individual commanders as well as to transform suggested past plans into potential solutions for new problems. The system is mixed-initiative in the sense that a commander, through his or her agent, can view and modify the contents of the shared repository as needed. The agents interact through a common knowledge repository, represented by a blackboard in the initial architecture. The blackboard architecture is well suited for dealing with ill-defined, complex situations such as warfare.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2008
Accession Number
ADA490293

Entities

People

  • Anthony J. Ford
  • Chad Destefano
  • Gennady R. Staskevich
  • James H. Lawton
  • Jeffrey W. Hudack
  • Joseph A. Carozzoni
  • Kurt K. Lachevet

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • C4I
  • Counter WMD
  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Air Power
  • Artificial Intelligence
  • Cognitive Science
  • Command And Control
  • Computer Programming
  • Computers
  • Control Systems
  • Data Storage Systems
  • Decision Support Systems
  • Information Exchange
  • Information Systems
  • Knowledge Management
  • Multiagent Systems
  • User Interface
  • Warfare

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence