Canonical momenta of nonlinear combat

TL;DR

This paper introduces canonical momentum indicators derived from stochastic nonlinear modeling to enhance effectiveness measurement in nonlinear combat simulations, aiding strategic decision-making.

Contribution

It presents a novel set of tools, including canonical momentum indicators, for assessing combat effectiveness using advanced nonlinear stochastic modeling and optimization techniques.

Findings

Derived coefficients of effectiveness from Janus simulation data.

Developed graphical decision aids based on canonical momentum indicators.

Validated tools using U.S. Army National Training Center data.

Abstract

The context of nonlinear combat calls for more sophisticated measures of effectiveness. We present a set of tools that can be used as such supplemental indicators, based on stochastic nonlinear multivariate modeling used to benchmark Janus simulation to exercise data from the U.S. Army National Training Center (NTC). As a prototype study, a strong global optimization tool, adaptive simulated annealing (ASA), is used to explicitly fit Janus data, deriving coefficients of relative measures of effectiveness, and developing a sound intuitive graphical decision aid, canonical momentum indicators (CMI), faithful to the sophisticated algebraic model. We argue that these tools will become increasingly important to aid simulation studies of the importance of maneuver in combat in the 21st century.