Systematic Data Farming - An Application to a Military Scenario

Abstract

This paper highlights the challenges of conducting simulation based experiments and describes how we seek to overcome these challenges through our implementation of a meta-technique known as Systematic Data Farming (SDF). We also describe its application on a military (Army) scenario to illustrate how the SDF capability can be used from the design phase, to the conduct phase and to the analysis phase. Through this application, we demonstrated the importance and value that the SDF capability can bring to simulation experiments. The paper will provide a detailed description of the process as well as the findings from the military scenario.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481695

Entities

People

  • Ang C. Kiat
  • Choo C. Seng
  • Chua C. Lian
  • Ng E. Chong

Organizations

  • Defence Science Organisation

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Adaptive Systems
  • Agent-Based Simulations
  • Complex Adaptive Systems
  • Computational Science
  • Data Mining
  • Data Sets
  • Experimental Design
  • Factorial Design
  • Information Science
  • Parallel Computing
  • Parallel Processing
  • Regression Analysis
  • Self Organizing Systems
  • Simulations
  • Statistical Analysis
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Hydrologic Risk Analysis and Mitigation.
  • Strategic Security Studies