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28 Models Later: Model Competition and the Zombie Apocalypse
Ian McGahan1, James Powell2, Elizabeth Spencer3
1Department of Mathematics and Statistics, Utah State University, Logan, USA. ian.mcgahan@aggiemail.usu.edu.
Humans versus Zombies (HvZ) game dynamics were modeled using differential equations. Results show defensive human clustering, group zombie hunting, varying zombie proficiency, and human attrition significantly influence game outcomes.
Area of Science:
- Mathematical modeling
- Epidemiology
- Game theory
Background:
- Humans versus Zombies (HvZ) is a popular campus game simulating zombie infection.
- Traditional SIR models with mass-action dynamics inadequately represent HvZ transmission.
- Understanding HvZ dynamics can offer insights into real-world social behaviors and disease spread.
Purpose of the Study:
- To identify key mechanisms driving the dynamics of the Humans versus Zombies (HvZ) game.
- To compare various transmission models using data from HvZ games.
- To validate model predictions with subsequent game data.
Main Methods:
- Developed a suite of mathematical models with diverse transmission mechanisms.
- Employed model competition, using Bayesian Information Criterion (BIC) for model selection.
- Utilized bootstrapping to assess mechanism significance and model confidence.
- Fit models to Fall 2011 data and tested predictions with Fall 2012 data.
Main Results:
- Humans exhibit defensive clustering behavior.
- Zombies demonstrate a tendency to hunt in coordinated groups.
- Individual zombie hunting proficiency varies.
- A portion of human players withdraw from the game over time.
Conclusions:
- The study identified specific behavioral mechanisms crucial to HvZ game dynamics.
- Model competition effectively distinguished between different transmission hypotheses.
- Findings suggest that HvZ dynamics are influenced by social and behavioral factors beyond simple infection rates.
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