Self-improving inference system to support the intelligence preparation of the battlefield – Requirements, state of the art, and prototypes

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Authors
  1. Bergeron-Guyard, A.
Corporate Authors
Defence Research and Development Canada, Valcartier Research Centre, Quebec QC (CAN)
Abstract
This report presents the results of a research project about the application of automated reasoning and machine learning approaches to support the Intelligence Preparation of the Battlefield/Operational Environment (IPB/IPOE) process. Analysts conducting IPB/IPOE are faced with information and cognitive overload problems. The research initiative described in this report intends on supporting IPB/IPOE analysts with Self-Improving Inference Systems (SIIS). To achieve this goal, literature and technological surveys as well as expert interviews and workshops were conducted. A functional decomposition of IPOE was also performed. Following the results from these tasks, two prototype systems were developed in order to support analysts performing IPB/IPOE.

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Keywords
inference;reasoning;machine learning;intelligence;prototype;IPB;IPOE
Report Number
DRDC-RDDC-2014-R136 — Scientific Report
Date of publication
01 Dec 2014
Number of Pages
96
DSTKIM No
CA040190
CANDIS No
801287
Format(s):
Electronic Document(PDF)

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