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Parallel Minority Game and it's application in movement optimization during an epidemic.

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  • 1Department of Physics, SRM University - AP, Andhra Pradesh 522502, India.

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A modified Minority Game (MG) with limited choices shows a stochastic strategy effectively manages resource utilization. This strategy also minimizes infection spread during epidemic-related population movements.

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Area of Science:

  • Complex systems
  • Game theory
  • Epidemiology

Background:

  • The Minority Game (MG) models strategic decision-making with limited information.
  • Coupled parallel games introduce complexity in resource utilization.
  • Population movement dynamics during epidemics require sophisticated modeling.

Purpose of the Study:

  • To introduce and analyze a modified Minority Game with restricted agent choices.
  • To evaluate the efficacy of a stochastic strategy in this coupled game.
  • To apply the model to population movement during epidemics and assess infection spread.

Main Methods:

  • Development of a coupled parallel Minority Game variant.
  • Implementation and analysis of a stochastic strategy.
  • Simulation of population movement and infection dynamics under epidemic conditions.

Main Results:

  • The stochastic strategy proves effective for resource utilization in the modified MG.
  • The model demonstrates that strategic movement can reduce overall infection rates.
  • Agents employing the stochastic strategy exhibit lower infection risk during epidemic travel.

Conclusions:

  • A stochastic strategy is robust across different scenarios, including epidemic modeling.
  • Controlled population movement, guided by a stochastic strategy, can mitigate epidemic spread.
  • The model provides insights into optimizing agent movement for reduced infection risk.