Simulation Networking/Training Requirements Relational database: User's Guide

Abstract

The Simulation Networking/Training Requirements Relational Database was developed to support analyses and training research projects for applying networked simulators to collective training. The collective tasks, subtasks, and standards described in armor platoon-, company team-, and battalion task force- level Mission Training Plan (MTP) documents form the core of the database. This core is supplemented with three types of data on each of over five thousand collective performance standards. The first type of data rates the extent to which the unit can perform the activities associated with each standard in the current simulation networking (SIMNET) environment. The second type of data provides information on how each of 41 potential enhancements to SIMNET would change the extent to which units can perform activities associated with each standard. This type of data ensures the utility of the database as new generations of network simulators are fielded. The third type of data identifies the source or sources of the data required to assess whether a unit meets performance standards in the networked simulator training environment. These data sources include data broadcast over the simulation network, unit plans for performing the mission, terrain data, tactical communications, and direct observation of behavior. SIMNET, Collective training, Networked simulators, Cost-effectiveness analysis, Training strategies.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1993
Accession Number
ADA275634

Entities

People

  • Larry L. Meliza

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Army Training
  • Computers
  • Data Displays
  • Database Management Systems
  • Databases
  • Demographic Cohorts
  • Domain Specific Programming Languages
  • Environment
  • Radio Communications
  • Relational Databases
  • Scatterable Mines
  • Simulations
  • Simulators
  • Social Sciences
  • Task Forces
  • Training
  • Warfare

Readers

  • Computer Science.
  • Military Training and Readiness Simulation
  • Neural Network Machine Learning.