Stochastic Model for Analyzing Combat Strategies (SMACS)

Abstract

Combat modeling can be a labor intensive, time consuming and expensive venture. SMACS was developed to analyze combat capability packages in a back of the envelope way through probabilistic calculations based on the functions of Blue systems stimulating, sensing, and striking Red targets. While initially developed as a spreadsheet Monte Carlo Simulation, SMACS grew into a Python simulation model that allows for the analysis of simple combat scenarios, exploring Blue system characteristics while varying Red target level of importance and engagement priority strategies.

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Document Details

Document Type
Technical Report
Publication Date
Jun 24, 2021
Accession Number
AD1156903

Entities

People

  • Adam W Patterson
  • Adwoa K Gyekye
  • Suzanne M. Delong

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Computational Science
  • Corporations
  • Data Science
  • Department Of Defense
  • Experimental Design
  • Information Science
  • Models
  • Monte Carlo Method
  • Platforms
  • Probabilistic Models
  • Probability
  • Simulations
  • Statistics
  • Teamwork
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Economics
  • Internal Combustion Engine (ICE) Technology.