Stochastic Opponent Modeling Agents: A Case Study with Hezbollah

Abstract

Stochastic Opponent Modeling Agents "SOMA" have been proposed as a paradigm for reasoning about cultural groups, terror groups, and other socioeconomic-political-military organizations worldwide. In this paper, we describe a case study that shows how SOMA was used to model the behavior of the terrorist organization, Hezbollah. Our team, consisting of a mix of computer scientists, policy experts, and political scientists, were able to understand new facts about Hezbollah of which even seasoned Hezbollah experts may not have been aware. This paper briefly overviews SOMA rules, explains how more than 14,000 SOMA rules for Hezbollah were automatically derived, and then describes a few key findings about Hezbollah, enabled by this framework.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2008
Accession Number
ADA480779

Entities

People

  • Aaron Mannes
  • Amy Pate
  • Amy Sliva
  • Jonathan Wilkenfeld
  • Mary Michael
  • V. S. Subrahmanian

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Civil War
  • Department Of Homeland Security
  • Elections
  • Ethnic Groups
  • Homeland Security
  • Kidnappings
  • Middle East
  • Political Parties
  • Probability
  • Relational Databases
  • Security
  • Terrorists
  • United States
  • Universities
  • Violence
  • War

Readers

  • Educational Psychology
  • Political Violence and Terrorism Studies.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.