Intelligence Virtual Analyst Capability: Governing Concepts and Science and Technology Roadmap

Abstract

This report presents the results of an investigation of Intelligent Software Assistant (ISA) technologies towards the development of an Intelligence Virtual Analyst Capability (iVAC). The idea behind the ISA is to synthesize the current state of Artificial Intelligence research to develop a personalized assistant that organizes information, learns processes, adapts to changing situations, and interactively supports individuals in their tasks in a seamless, intuitive fashion. The iVAC is meant as a computerized software assistant supporting the intelligence analysts in sensemaking tasks, while being ultimately capable of taking on autonomous analytical tasks in concert with other analysts (virtual or human). To achieve this goal, literature surveys, technology studies, expert workshops and detailed analysis of iVAC sub-capabilities were performed. For every identified iVAC sub-capability, an assessment of the maturity of existing, relevant, applicable science and technology was performed. As a result, key research topics were identified. This document provides a description of the iVAC concept and of the research and development steps required to instantiate it.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2014
Accession Number
AD1004320

Entities

People

  • Alexandre Bergeron-guyard
  • D. Poussart
  • Denis Gouin
  • Jean Roy
  • Valerie Lavigne

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Big Data
  • Cognitive Systems Engineering
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Data Analysis
  • Human-Computer Interaction
  • Information Science
  • Intelligence Analysis
  • Intelligence Analysts
  • Literature Surveys
  • Machine Learning
  • Natural Language Processing
  • Ontologies
  • Social Media

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Molecular and Cellular Biology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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