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Self-organized institutions in evolutionary dynamical-systems games.

Kenji Itao¹, Kunihiko Kaneko²

¹Computational Group Dynamics Collaboration Unit, Center for Brain Science, RIKEN, Wako, Saitama 351-0198, Japan.

Proceedings of the National Academy of Sciences of the United States of America

|April 11, 2025

Summary

This summary is machine-generated.

This study reveals how social institutions emerge through evolutionary game theory, showing that plasticity in decision-making enables cooperation and norm self-organization in resource management. These emergent institutions demonstrate remarkable stability.

Keywords:

common-pool resource management dynamical-systems game evolutionary game social institutions

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Area of Science:

Evolutionary game theory
Socio-ecological systems
Behavioral economics

Background:

Social institutions, systems of norms and rules, regulate behavior but their emergence mechanisms are poorly understood.
Existing theories lack a dynamic framework to explain how institutions self-organize from individual interactions.
Understanding institutional emergence is crucial for managing shared resources and complex social systems.

Purpose of the Study:

To introduce and apply evolutionary dynamical-systems game theory to model the emergence of social institutions.
To explore the evolution of cognitive frameworks for decision-making in a common-pool resource management context.
To elucidate the self-organization mechanisms underlying cooperative norms and punishment rules.

Main Methods:

Developed an evolutionary dynamical-systems game theory model coupling game actions with environmental dynamics.
Analyzed a minimal common-pool resource management model with harvesting and monitoring.
Simulated the evolution of decision-making functions and analyzed emergent norms and system stability.

Main Results:

Decision-making functions evolved to detect and punish defection, leading to self-organized norms of cooperativeness and punishment.
Emergent institutions, characterized by distinct socio-ecological modes and limit-cycle attractors, exhibited stability.
Plasticity in decision-making functions proved crucial for evolutionary robustness against invasion.

Conclusions:

Evolutionary dynamical-systems game theory provides a framework for understanding institutional emergence.
Plasticity and self-organization are key mechanisms driving the formation and stability of social institutions.
The study offers insights into the dynamic interplay between individual behavior, environmental feedback, and institutional development.