Report of a Workshop on Prioritizing Candidate Decision Aids for Tactical Applications Held in Ft. Leavenworth, Kansas in November 1986

Abstract

This report describes a methodology for prioritizing candidate decision aids which can be developed using the techniques of artificial intelligence (AI). The methodology was tested in an action officer Prioritization Workshop conducted at Ft. Leavenworth in November 1986. This report details the methodology, results of the prioritization, limitations of and lessons learned from the Workshop, prioritizing issues, and general recommendations for a prioritizing methodology. This research note describes a methodology for prioritizing tactical expert systems for development. The methodology was assessed in an action officer prioritizing workshop, and the report presents lessons learned in using the methodology, recommendations for improving the methodology, and results of the prioritization. The following aids were rated as the four top candidates for expert system development: Alternate Courses of Action Analyzer, Force Movement Analyzer, Obstacle Preparation, and Fuel Consumption Rate Analyzer. Keywords: Artificial intelligence, Tactical analysis, Prioritizing decision aids, Command and control, Staff Operations, Expert systems, Multi Attribute Utility Analysis (MAUA).

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA207510

Entities

People

  • Sharon L. Riedel

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artillery
  • Command And Control
  • Command And Control Systems
  • Control Systems
  • Decision Support Systems
  • Fire Support
  • Fuel Consumption
  • Judgment
  • Lessons Learned
  • Military Research
  • Rate Of Consumption
  • Reliability
  • Security
  • Social Sciences
  • Tactical Decision Aids
  • Warfare

Fields of Study

  • Engineering

Readers

  • Instructional Design and Training Evaluation.
  • Military Training and Readiness Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Fully Networked C3
  • Fully Networked C3 - Command and Control