Agent-Based Modeling of a Network-Centric Battle Team Operating Within an Information Operations Environment

Abstract

A model developed to analyze the emergent behavior of a network-centric battle team undergoing hostile information operations (IO) stress events is presented. Networked battlefield platforms are modeled as mobile semiautonomous agents that operate within a cellular automata (CA) lattice. The CA form a discrete spatially extended dynamical system consisting of a parallel networked lattice of computational cells in two dimensions. A software framework that combines CA-based agents with a genetic algorithm was developed in order to explore the dynamics of two opposing but "coevolving" units of networked combat agents. Simulation results using two variants of the CA-based combat agent model, both of which include IO stress in the form of radio frequency communications jamming, are analyzed and discussed.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2003
Accession Number
ADA411990

Entities

People

  • Brian G. Ruth
  • J. D. Eckart

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Attrition
  • Combat Simulations
  • Command And Control
  • Communication Networks
  • Computers
  • Detection
  • Detectors
  • Genetic Algorithms
  • Information Operations
  • Information Systems
  • Land Warfare
  • Military Operations
  • Multiagent Systems
  • Network Centric Warfare
  • Two Dimensional
  • Warfare

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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