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Misperception influence on zero-determinant strategies in iterated Prisoner's Dilemma
Zhaoyang Cheng1,2, Guanpu Chen1,3, Yiguang Hong4,5
1Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Beijing, 100190, China.
This study examines Zero-determinant strategies in Iterated Prisoner's Dilemma games under misperception. It establishes conditions for these strategies and analyzes utility deviations when one player perceives the other's misperception.
Area of Science:
- Game Theory
- Computational Economics
- Artificial Intelligence
Background:
- Zero-determinant (ZD) strategies offer unilateral control over players' expected utilities in Iterated Prisoner's Dilemma (IPD).
- Misperception is a common factor in real-world IPD scenarios, introducing uncertainty.
- Understanding misperception's impact on ZD strategies is crucial for practical applications.
Purpose of the Study:
- To investigate the influence of misperception on Zero-determinant strategies in IPD.
- To establish conditions for ZD strategies when one player (X) detects and accounts for the other's (Y) misperception.
- To analyze the bounds of utility deviation and potential improvements for player X.
Main Methods:
- Mathematical modeling of IPD with asymmetric cognitive states (misperception).
- Derivation of necessary and sufficient conditions for ZD strategies under misperception.
- Analysis of expected utility deviations and player X's utility optimization.
Main Results:
- A precise condition for the existence of ZD strategies in IPD with misperception was identified.
- A linear relationship between player utilities is maintained within player X's cognition.
- Bounds for the deviation of expected utilities from this linear relationship were determined.
Conclusions:
- ZD strategies can be robust even in the presence of misperception, provided specific conditions are met.
- Player X can leverage the detection of misperception to improve its own utility while maintaining a linear relationship.
- The study provides a theoretical framework for understanding strategic interactions under uncertainty in IPD.
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