Helmet: A Clojure-based Rules Engine for Stochastic Demand Sampling in Army Force Structure Analysis

Abstract

Designing an Army force structure - the set of equipment, personnel, and skills that define the US Army - consists of a daunting set of interacting problems. Such analyses must deal with a wide range of force structure decisions, uncertainty about the future, and account for dynamics between force structure decisions. Recent methodologies at CAA use random variables for Army force structure demands. Due to constraints and dependencies, the business rules for determining a valid demand signal require more than simple draws from canonical distributions. Further, the rule-set must be open to extension to incorporate evolving sponsor constraints. Helmet is a novel Domain Specific Language (DSL) for defining complex demand sample generators. Implemented in the Clojure programming language, Helmet provides a robust extensible platform for building stochastic force structure demands.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2014
Accession Number
ADA617637

Entities

People

  • Thomas Spoon

Organizations

  • Center for Army Analysis

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Clojure Programming Language
  • Commerce
  • Computer Programming
  • Computer Programs
  • Force Structure
  • Hash Tables
  • Language
  • Lisp Programming Language
  • Natural Languages
  • Operations Research
  • Probability
  • Programming Languages
  • Random Variables
  • Sampling
  • Statistical Samples

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Linguistics
  • Logistics and Supply Chain Management.