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Cooperation on dynamic networks within an uncertain reputation environment.

Pablo Lozano^1,2, Alberto Antonioni^3,4,5, Marco Tomassini⁶

¹Grupo Interdisciplinar de Sistemas Complejos (GISC), Departamento de Matemáticas, Universidad Carlos III de Madrid, E-28911, Leganés, Madrid, Spain.

Scientific Reports

|June 16, 2018

Summary

Reputation mechanisms can foster cooperation, but faking reputation undermines honest participants. Agent-based simulations confirm this behavior is stable in large populations and over time.

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Area of Science:

Social Sciences
Computational Social Science
Behavioral Economics

Background:

Reputation is a key mechanism for cooperation in society.
Laboratory studies show reputation increases cooperation in Prisoner's Dilemma games.
Recent experiments reveal that reputation faking can disrupt cooperation, harming honest individuals.

Purpose of the Study:

To develop an agent-based simulation model of reputation and cooperation.
To calibrate the model against experimental results.
To explore cooperation dynamics in larger populations and over extended time scales.

Main Methods:

Agent-based modeling approach.
Model calibrated using experimental data on reputation and cooperation.
Simulations conducted on large populations and long time horizons.

Main Results:

Collective behavior regarding cooperation was qualitatively similar in larger simulated populations.
Cooperation dynamics remained stable over longer simulation times.
The simulation results support the findings of the experimental work.

Conclusions:

The agent-based model provides a valid explanation for observed experimental findings on reputation and cooperation.
The study's findings are meaningful and generalize to larger systems and longer durations.
Simulations can efficiently guide future experimental research on cooperation mechanisms.