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Area of Science:

  • Game Theory
  • Computational Economics
  • Evolutionary Game Theory

Background:

  • Zero-determinant (ZD) strategies enforce linear payoffs in the repeated prisoner's dilemma (RPD).
  • Real-world interactions often involve discounting and observation errors, which were not initially considered for ZD strategies.

Purpose of the Study:

  • To analytically investigate ZD strategies in the RPD game with both discounting and observation errors.
  • To identify all strategies that maintain linear payoff relationships under these generalized conditions.

Main Methods:

  • Analytical study of strategies enforcing linear payoff relationships in the RPD with discount factors and observation errors.
  • Numerical derivation of threshold values for the existence of specific ZD strategy subsets.

Main Results:

  • Payoffs can still be represented by determinants, similar to the original ZD strategy findings.
  • Only Zero-determinant (ZD) strategies and unconditional strategies satisfy the linear payoff condition with errors and discounting.
  • Extortion and Generous strategies, subsets of ZD strategies, do not exist under these generalized conditions.

Conclusions:

  • The study clarifies the conditions under which ZD strategies and their subsets exist in more realistic RPD scenarios.
  • Findings contribute to a deeper understanding of strategy dynamics in noisy and discounted game-theoretic interactions.