On a stochastic version of Lanchester's model of combat
Michael J. Kearney, Richard J. Martin

TL;DR
This paper revisits a stochastic, discrete-time version of Lanchester's combat model, providing simplified derivations and exact solutions to address the model's limitations due to random fluctuations.
Contribution
It introduces a refined, exact solution approach for a stochastic Lanchester model, improving upon previous scattered results and simplifying the analysis.
Findings
Exact solutions for the stochastic model are derived.
Simplified derivations enhance understanding of the model.
Refinements improve the model's applicability to real combat scenarios.
Abstract
Lanchester's model of combat has certain deficiencies in its standard form arising from the neglect of the influence of random fluctuations. Several approaches to rectify this have been proposed and various results are scattered throughout the literature. Here, a discrete-time stochastic version, which is amenable to exact solution, is revisited with the aim of deriving key results within one setting. The exposition simplifies and provides refinements to earlier derivations and analysis.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMilitary Defense Systems Analysis · Mathematical and Theoretical Epidemiology and Ecology Models · Terrorism, Counterterrorism, and Political Violence
