Defense and Homeland Security Applications of Multi-Agent Simulations

Abstract

Department of Defense and Homeland Security analysts are increasingly using multi-agent simulation (MAS) to examine national security issues. This paper summarizes three MAS national security studies conducted at the Naval Postgraduate School. The first example explores equipment and employment options for protecting critical infrastructure. The second case considers non-lethal weapons within the spectrum of force-protection options in a martitime environment. The final application investigates emergency (police, fire, and medical) responses to an urban terrorist attack. There are many potentially influential factors and many sources of uncertainty associated with each of these simulated scenarios. Thus, efficient experimental designs and computing clusters are used to enable us to explore many thousands of computational experiments, while simultaneously varying many factors. The results illustrate how MAS experiments can provide valuable insights into defense and homeland security operations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2007
Accession Number
ADA518206

Entities

People

  • Felix Martinez
  • Jonathan W. Roginski
  • Lisa R. Sickinger
  • Susan M. Sanchez
  • Thomas W. Lucas

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Data Mining
  • Department Of Defense
  • Employment
  • Experimental Design
  • First Responders
  • Force Protection
  • Geography
  • Homeland Security
  • Information Science
  • Lessons Learned
  • National Security
  • Nonlethal Weapons
  • Operations Research
  • Students
  • United States Military Academy
  • Uss Laboon

Readers

  • Cybersecurity.
  • Emergency Management and Homeland Security.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.