Study of simple land battles using agent-based modeling: Strategy and emergent phenomena
Authored by Alexandra Westley, Meglio Nicholas De, Rebecca Hager, Jorge Wu Mok, Linda Shanahan, Surajit Sen
Date Published: 2017
DOI: 10.1142/s0217979217420024
Sponsors:
United States National Science Foundation (NSF)
US Army Research Office
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
In this paper, we expand upon our recent studies of an agent-based model
of a battle between an intelligent army and an insurgent army to explore
the role of modifying strategy according to the state of the battle
(adaptive strategy) on battle outcomes. This model leads to surprising
complexity and rich possibilities in battle outcomes, especially in
battles between two well-matched sides. We contend that the use of
adaptive strategies may be effective in winning battles.
Tags
Competition
Cellular automata
Life
Battle