THE INVESTIGATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES FOR INTELLIGENT MONITORING ACTIVITIES: VOLUME II: SUMMARY OF INTELLIGENT MONITORING ACTIVITIES

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Authors
  1. Belanger, M.
Corporate Authors
Defence Research Establishment Valcartier, Valcartier QUE (CAN);RES International Inc, Ottawa ONT (CAN)
Abstract
The objective of the study was to determine which Artificial Intelligence (AI) technologies and/or architectures are most appropriate for building a system which meets Air Command pre-requisites and which can be used to monitor world events, understand their significance with respect to Air Command operations, and take the appropriate actions. The results of the investigation are described in a four volume final project report. In Volume II, the monitoring task as it applied to Air Command was further refined and placed ina command and control context. The general characteristics of monitoring applications were then defined and tables were created which suggested which AI techniques cold be used to address each characteristic. The report concluded by stating that the most promising areas of future research for an Air Command monitoring application are modelling and reasoning with models, reasoning with abstractions, reasoning under uncertainty, distributed, cooperative computing architectures, knowledge acquisition and machine learning, and computer-human collaboration.
Keywords
Operational readiness
Report Number
DREV-CR-923 — Contractor Report; Technical Report
Date of publication
07 Jan 1997
Number of Pages
135
DSTKIM No
97-03436
CANDIS No
503595
Format(s):
Hardcopy;Document Image stored on Optical Disk

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