Evolution of coordinated alternating reciprocity in repeated dyadic games

Area of Science:

• Evolutionary Game Theory
• Computational Social Science
• Behavioral Economics

Background:

• Understanding the evolution of social behavior is crucial in various scientific disciplines.
• Game theory provides a framework for analyzing strategic interactions and their outcomes.
• Previous research has explored cooperation but often lacks a comprehensive evolutionary perspective across different game structures.

Purpose of the Study:

• To investigate the evolution of social behavior in diverse game theory scenarios using a genetic algorithm.
• To determine how the strategic structure of interactions influences the types of social behaviors that evolve.
• To identify the genetic underpinnings and emergent strategies in simulated social interactions.

Main Methods:

• A genetic algorithm was employed, incorporating mutation and crossing-over.
• Simulations were run for repeated Prisoner's Dilemma, Chicken (Hawk-Dove), Battle of the Sexes, and Leader games.
• The algorithm evolved genetic strategies based on game outcomes.

Main Results:

• The strategic structure of games critically determined the evolved social behavior.
• Repeated Prisoner's Dilemma and Chicken games resulted in symmetric reciprocity and mutual cooperation.
• Battle of the Sexes and Leader games led to asymmetric strategies and coordinated alternating reciprocity.

Conclusions:

• Evolved social behaviors are highly dependent on the underlying game's strategic architecture.
• Coordinated alternating reciprocity can emerge in asymmetric games without explicit communication.
• This research offers insights into the genetic basis and evolutionary pathways of complex social strategies.