Developing Models and Metrics to Assess the Impacts of Complexity in Operational Settings
ResearchPublished Jun 25, 2024
In this report, the authors assess mathematical strategies for quantifying complexity in wartime environments. By specifying ways to accurately measure complexity and by defining strategies for identifying parts of a process that are most vulnerable to complexity imposition, the authors aim to provide a framework that will help make complexity a concrete consideration in operational settings.
ResearchPublished Jun 25, 2024
Modern warfare is characterized by an environment of complex, multidomain operations deployed against an adversary who, likewise, responds with a complex array of tactics. Although the challenges of operating in this environment have long been recognized, the complexities of this environment have rarely been framed or studied in a structured way.
In this report, the authors assess mathematical strategies for quantifying complexity in wartime environments. After comparing approaches based in linear algebra with Monte Carlo simulation strategies, they were able to provide a general road map that defined the advantages and limitations of each. These methods are demonstrated in two operational vignettes: one examining a simplified suppression of enemy air defenses scenario and a second examining the Cuban Missile Crisis.
Note: As a component of this project, researchers created a Julia implementation for some Markov chain processes, including defining and implementing transition matrix from a sparse text file using variables, finding steady states and absorption probabilities, and simulating random walks. Research teams that would like to apply these processes to their own work can find the underlying code in this GitHub repository:
The research described in this report was prepared for the Department of the Air Force and conducted by the Force Modernization and Employment Program within RAND Project AIR FORCE.
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