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

摘要

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). (SDW)