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Multi-Player Evolutionary Game Theory in Cooperative Governance of Natural, Social, and Network Environments: A Review
- 1 Social Science Department, De Anza College, Cupertino, USA
* Author to whom correspondence should be addressed.
Abstract
In the context of rapid economic development, profound transformation of social structure and accelerated technological evolution, environmental governance issues are increasingly presented with cross-domain, multi-subject and dynamic complex characteristics. These challenges often involve strategic conflicts among governments, enterprises, and the public, making cooperation more uncertain and difficult to sustain. Traditional two-player game models are insufficient for capturing the evolving dynamics of such systems. In recent years, multi-player evolutionary game theory (EGT) has provided new perspectives for analyzing various environmental governance. This review explores the application of multi-player EGT in three major governance contexts: natural, social, and cyber environments, highlighting its effectiveness in modeling adaptive behaviors, feedback mechanisms, and policy outcomes under uncertainty, drawing on both theoretical frameworks and simulation-based studies. EGT offers a systematic analytical tool for understanding multi-agent interactions and optimizing governance mechanisms. Moreover, it provides theoretical guidance for public policy design and supports the stable development of collaborative governance. The review also discusses EGT’s strong potential to make further contributions in more and more complex interdisciplinary fields in the future.
Keywords
Muti-player evolutionary game theory, Environmental governance, Cooperation
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Cite this article
Xiang,X. (2025). Multi-Player Evolutionary Game Theory in Cooperative Governance of Natural, Social, and Network Environments: A Review. Advances in Economics, Management and Political Sciences,184,51-56.
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