City Research Online

Abstract

Research into society’s informal rules of conduct, or norms, has recently experienced a surge, extending across multiple academic disciplines. Despite this growth, the theoretical modeling of norms often remains siloed within specific paradigms, as different disciplines tend to favor certain frameworks over others, thereby hindering the spread of innovative ideas. This article breaks through disciplinary barriers to explore recent advancements in the mathematical study of norms. It specifically focuses on cutting-edge theoretical research, structuring the discussion around four general frameworks: game theory, evolutionary game theory, agent-based modeling, and multi-agent reinforcement learning.

Publication Type:	Article
Additional Information:	This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords:	informal institutions, social norms, injunctive norms, personal norms, values, game theory, evolutionary game theory, agent-based modeling, multi-agent reinforcement learning, machine learning
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics
Departments:	School of Policy & Global Affairs School of Policy & Global Affairs > Economics
SWORD Depositor:	Symplectic Administrator

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