Parallel Minority Game and it's application in movement optimization during an epidemic
Soumyajyoti Biswas, Amit Kr Mandal

TL;DR
This paper introduces a parallel Minority Game with multiple choices, applying it to optimize population movement during an epidemic, demonstrating that strategic movement can reduce infection rates effectively.
Contribution
It extends the Minority Game to multiple choices with coupled dynamics and applies it to epidemic movement control, showing strategic movement reduces infections.
Findings
Stochastic strategies improve resource utilization in the model.
Movement following the stochastic strategy lowers infection risk.
The model can replicate known game behaviors under certain limits.
Abstract
We introduce a version of the Minority Game where the total number of available choices is , but the agents only have two available choices to switch. For all agents at an instant in any given choice, therefore, the other choice is distributed between the remaining options. This brings in the added complexity in reaching a state with the maximum resource utilization, in the sense that the game is essentially a set of MG that are coupled and played in parallel. We show that a stochastic strategy, used in the MG, works well here too. We discuss the limits in which the model reduces to other known models. Finally, we study an application of the model in the context of population movement between various states within a country during an ongoing epidemic. We show that the total infected population in the country could be as low as that achieved with a complete stoppage of…
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