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用于规范分析的数学框架。

Mathematical frameworks for the analysis of norms.

机构信息

Department of Economics, City University of London, Northampton Sq., London EC1V 0HB, UK; Smith Institute for Political Economy and Philosophy, Chapman University, One University Dr., Orange, CA 92866, USA.

出版信息

Curr Opin Psychol. 2024 Dec;60:101930. doi: 10.1016/j.copsyc.2024.101930. Epub 2024 Oct 16.

DOI:10.1016/j.copsyc.2024.101930
PMID:39490084
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.

摘要

近年来,对社会非正式行为规范或规范的研究迅速兴起,涵盖了多个学术领域。尽管有了这种增长,但规范的理论建模往往仍然局限于特定的范式内,因为不同的学科往往倾向于某些框架而不是其他框架,从而阻碍了创新思想的传播。本文突破了学科障碍,探讨了规范的数学研究的最新进展。它特别关注前沿理论研究,围绕四个一般框架组织讨论:博弈论、进化博弈论、基于主体的建模和多主体强化学习。

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