Virtual Battlespace Behavior Generation Through Class Imitation

Abstract

Military organizations need realistic training scenarios to ensure mission readiness. Developing the skills required to differentiate combatants from non-combatants is very important for ensuring the international law of armed conflict is upheld. In Simulated Training Environments, one of the open challenges is to correctly simulate the appearance and behavior of combatant and non-combatant agents in a realistic manner. This thesis outlines the construction of a data driven agent that is capable of imitating the behaviors of the Virtual BattleSpace 2 behavior classes while our agent is configured to advance to a geographically specific goal. The approach and the resulting agent promotes and motivates the idea that Opponent and Non-Combatant behaviors inside of simulated environments can be improved through the use of behavioral imitation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA540365

Entities

People

  • Bryon K. Fryer Jr.

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Artificial Intelligence
  • Battlespace
  • Cognition
  • Cognitive Science
  • Computers
  • Data Sets
  • Machine Learning
  • Military Organizations
  • Military Science
  • Military Training
  • Supervised Machine Learning
  • Training
  • United States
  • Virtual Reality
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Military History / Militaries and War Studies
  • Theoretical Analysis.