Defensive swarm: an agent-based modeling analysis is a Naval Post Graduate School thesis by Nathan E. Padgett. The thesis analyzes how swarms of small autonomous drones or unmanned aerial vehicles (UAVs) can support defensive operations. Padgett creates an agent-based computer simulation model that creates a tactical problem that a swarm of UAVs attempts to defend against. The analysis indicates that a defensive swarm can effectively deter 95% of attackers if each UAV is responsible for covering no more than .18 square miles and at least 40% of the UAVs are armed.

Publication Date- December 2017

This Thesis contains the following major sections:

I. Introduction

II. Literature Review

III. Model

IV. Analysis

V. Conclusion

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Author- Nathan E. Padgett

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