Lessons Learned and Future Directions for the AMBR Model Comparison Project

Abstract

The first iteration of AFRL's Agent-based Modeling and Behavior Representation (AMBR) Model Comparison Project was quite a learning experience for all involved. This paper focuses on feedback received, challenges faced, and lessons learned during and after Round 1 of the AMBR Model Comparison. We include a section on implications for future (or other) human model comparisons, in the hope that others who may adopt this general methodology will find useful suggestions for planning their own human model comparisons. The paper ends with a description of current plans for AMBR Rounds 3 and 4.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2001
Accession Number
ADA517392

Entities

People

  • Kevin A. Gluck
  • Richard W. Pew

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Data Analysis
  • Feedback
  • Human Behavior
  • Human Factors Engineering
  • Learning
  • Lessons Learned
  • Military Research
  • Motor Skills
  • Psychology
  • Simulations
  • Workload

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Defense Acquisition Program Management