Self-Organized Air Tasking: Examining a Non-Hierarchical Model for Joint Air Operations

Abstract

The hypothesis of this paper proposes that it is possible to structure a non-hierarchical approach to air tasking in the conduct of Joint air operations. For the private sector, advances in information and communication technologies have led to innovations in organizational structures in order to know more across the enterprise. However, the application of these "value network" principles has not been fully applied to the processes upon which the U.S. organizes for Joint force operations. A non-hierarchical model is constructed for the tasking of air assets in order to test an agent-based approach to the servicing of targets in an air campaign, using agent-based simulation techniques and models established by Epstein & Axtell (SugarScape) within the Santa Fe Institute's Swarm agent modeling environment.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2004
Accession Number
ADA466243

Entities

People

  • John Bordeaux

Organizations

  • SRA International Inc

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerial Warfare
  • Agent-Based Simulations
  • Air Force
  • Air Power
  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Artificial Intelligence
  • Computer Programs
  • Control Systems
  • Information Systems
  • Military Organizations
  • National Security
  • Organizational Structure
  • Self Organizing Systems
  • Unmanned Aerial Vehicles
  • Warfare

Fields of Study

  • Computer science

Readers

  • Aerospace logistics and air mobility.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Joint Military Operations and Doctrine.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs