Self-improving Inference System to Support the Intelligence Preparation of the Battlefield: Requirements, State of the Art, and Prototypes

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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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2014
Accession Number
AD1004313

Entities

People

  • A. B. Guyard

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • C4I
  • Counter WMD
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Command And Control
  • Communication Systems
  • Control Systems
  • Databases
  • Demography
  • Doctrine
  • Environment
  • Geography
  • Governments
  • Human Intelligence
  • Literature Surveys
  • Machine Learning
  • Military Science
  • National Security
  • Security

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Organizational Process Management (OPM).
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy