Accession Number:

ADA558965

Title:

Distributed Episodic Exploratory Planning (DEEP)

Descriptive Note:

Final rept. Jul 2006-Sep 2011

Corporate Author:

AIR FORCE RESEARCH LAB ROME NY INFORMATION DIRECTORATE

Report Date:

2012-04-01

Pagination or Media Count:

60.0

Abstract:

This report presents an overview of the work performed on 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 a new situation or world state. 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 and managed by a blackboard architecture. The blackboard architecture is well suited for dealing with ill-described, complex situations that are part of modern warfare. Additional aspects of the work include development of a common plan representation and design of the case repository feature space. Much of the work has been documented in numerous other papers, reports and presentations, as referenced in the bibliography, and is only summarized in this report.

Subject Categories:

  • Cybernetics
  • Military Operations, Strategy and Tactics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE