Automated Scenario Generation: Toward Tailored and Optimized Military Training in Virtual Environments

Abstract

Scenario-based training exemplifies the learning-by-doing approach to human performance improvement. In this paper, we enumerate the advantages of incorporating automated scenario generation technologies into the traditional scenario development pipeline. An automated scenario generator is a system that creates training scenarios from scratch, augmenting human authoring to rapidly develop new scenarios, providing a richer diversity of tailored training opportunities, and delivering training scenarios on demand. We introduce a combinatorial optimization approach to scenario generation to deliver the requisite diversity and quality of scenarios while tailoring the scenarios to a particular learner's needs and abilities. We propose a set of evaluation metrics appropriate to scenario generation technologies and present preliminary evidence for the suitability of our approach compared to other scenario generation approaches.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA558449

Entities

People

  • Alexander Zook
  • Heather K. Holden
  • Keith W. Brawner
  • Mark O. Riedl
  • Robert A. Sottilare
  • Stephen Lee-urban

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Combat Casualty Care
  • Computer-Aided Instruction
  • Computers
  • Education
  • Generators
  • Genetic Algorithms
  • Learning
  • Mathematics
  • Military Training
  • Optimization
  • Pipelines
  • Simulations
  • Test And Evaluation
  • Training
  • Virtual Reality

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Systems Analysis and Design