Agent-Based Modeling for Testing and Designing Novel Decentralized Command and Control System Paradigms

Abstract

Agent-based modeling (ABM) is a recent simulation modeling technique that consists of modeling a system from the bottom up, capturing the interactions taking place between the system's constituent units. Such a bottom up approach enables users to describe and predict emergent phenomena. These include aggregate, system-level behaviors that can be counter-intuitive. Because decentralized command and control (DC2) paradigms can sometimes lead to counter-intuitive phenomena, ABM is the tool of choice to test DC2 and can provide significant insight into the design of DC2 approaches.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA467426

Entities

People

  • Carl W. Hunt
  • Eric Bonabeau
  • Paolo Gaudiano

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Collision Avoidance
  • Command And Control
  • Command And Control Systems
  • Commerce
  • Computers
  • Control Systems
  • Cybersecurity
  • Differential Equations
  • Equations
  • Evolutionary Algorithms
  • Military Applications
  • Network Centric Warfare
  • Personnel Management
  • Supply Chain
  • War Colleges
  • Warfare

Readers

  • Distributed Systems and Data Platform Development
  • Underwater engineering and Marine Technology.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control