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Summary
This summary is machine-generated.

This study extends the theory of stationary anonymous sequential games to total and average rewards. Equilibria in these infinite-player games correspond to limits of finite-player game equilibria.

Keywords:
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Area of Science:

  • Game Theory
  • Mathematical Economics
  • Computational Game Theory

Background:

  • Stationary anonymous sequential games with undiscounted rewards merge infinite-player population games and stochastic games.
  • Existing theory primarily addresses specific reward structures.

Purpose of the Study:

  • Extend the theoretical framework for stationary anonymous sequential games.
  • Analyze both total expected reward and expected average reward scenarios.
  • Establish the relationship between infinite and finite player game equilibria.

Main Methods:

  • Theoretical extension of game theory models.
  • Analysis of limit behavior as player populations approach infinity.
  • Comparative analysis of finite and infinite player game equilibria.

Main Results:

  • Demonstrated that equilibria in infinite-player anonymous sequential games are limits of finite-player game equilibria.
  • Successfully extended the theory to encompass total expected reward and expected average reward.

Conclusions:

  • The study provides a robust theoretical foundation for analyzing large-scale anonymous sequential games.
  • Findings offer insights into the convergence of strategies in games with growing player numbers.
  • The results are illustrated with practical examples.