On the Evaluation of Military Simulations: Towards A Taxonomy of Assessment Criteria

by   Mario Golling, et al.

In the area of military simulations, a multitude of different approaches is available. Close Combat Tactical Trainer, Joint Tactical Combat Training System, Battle Force Tactical Training or Warfighter's Simulation 2000 are just some examples within the history of the large DoD Development Program in Modelling and Simulation, representing just a small piece of the variety of diverse solutions. Very often, individual simulators are very unique and so it is often difficult to classify military simulations even for experienced users. This circumstance is further boosted due to the fact that in the field of military simulations - unlike in other areas - no general classification for military simulations exists. To address this shortcoming, this publication is dedicated to the idea of providing a first contribution to the development of a commonly accepted taxonomy in the area of military simulations. To this end, the problem field is structured into three main categories (general functional requirements for simulators, special military requirements for simulators and non-functional requirements for simulators). Based upon that, individual categories are provided with appropriate classes. For a better understanding, the taxonomy is also applied to a concrete example (NetLogo Rebellion).



There are no comments yet.


page 1

page 2

page 3

page 4


One-Class Classification: Taxonomy of Study and Review of Techniques

One-class classification (OCC) algorithms aim to build classification mo...

Taxonomy grounded aggregation of classifiers with different label sets

We describe the problem of aggregating the label predictions of diverse ...

A taxonomy for quality in simulation-based development and testing of automated driving systems

Ensuring the safety and performance requirements of automated driving sy...

Learning Everywhere: A Taxonomy for the Integration of Machine Learning and Simulations

We present a taxonomy of research on Machine Learning (ML) applied to en...

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks

Over the last decade, Convolutional Neural Networks (CNN) saw a tremendo...

Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems

Corner cases for driving automation systems can often be detected by the...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.