The Operations Intent and Effects Model: A Command and Control Methodology for Increased Automation

Abstract

Command and Control (C2) is viewed as an increasingly important part of future military technologies. While recent C2 theory has focused on desirable features of complex organizations such as agility, and emerging work is looking at social media approaches, the key issues for many militaries are how to integrate and benefit from increased automation. Rapid advances in robotic and simulation technologies challenge the current C2 methodologies that rely on intensive human intervention and monitoring. Future C2 will need to accommodate "mixed" forces of humans and robots. The uncertainty inherent in an actual mission, and the variety of potential organizations that support the mission after it is underway, make Command Intent (CI) a critical concept for automated C2 systems. Both humans and decision support services (including simulations) within a C2 system need to have the ability to communicate and interpret a shared CI. The Operations Intent and Effects Model (OIEM) identifies the relationships among Intent, Actions, and Effects in a C2 framework. We describe this model and show how it can represent and support operations as well as enable the design of more effective C2 systems in the future.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA588391

Entities

People

  • Michael R. Hieb
  • Per M. Gustavsson

Organizations

  • George Mason University

Tags

Communities of Interest

  • C4I
  • Cyber

DTIC Thesaurus Topics

  • Aircrafts
  • Automation
  • Command And Control
  • Command And Control Systems
  • Control Systems
  • Doctrine
  • Information Systems
  • Infrastructure
  • Language
  • Monitoring
  • Robotics
  • Simulations
  • Situational Awareness
  • Social Media
  • Standards
  • Task Forces
  • Training

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Joint Military Operations and Doctrine.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control