Joshua Epstein教授在访谈中深入讨论了基于主体的建模（ABM）在社会科学中的强大作用，从Sugarscape模型的早期历史到ABM系统的动态、不同类型的主体、ABM与基于微分方程系统的模型对比、预测与解释系统、Axelrod的种族隔离涌现演示、计算考古学、参数在ABM中的作用、逆进化技术、Josh的Agent Zero动力学、主体中的情感作用、COVID-19应对失败与领导力不足、R0的误解以及超级传播者等多个话题。

🌟 基于主体的建模（ABM）是一种在社会科学中强大的工具，Joshua Epstein教授介绍了其从Sugarscape模型的早期发展，强调了ABM在模拟复杂社会动态中的独特优势。

🔍 ABM系统中的主体可以是多种多样的，Epstein教授探讨了不同类型主体的动态行为，以及它们如何相互作用形成复杂的社会现象。

💡 ABM与基于微分方程的模型相比，更注重于解释系统的行为而非简单的预测，Epstein教授通过Axelrod的种族隔离模型展示了这一点。

🏛️ 在计算考古学领域，ABM被用来重现和理解古代社会的演变，Epstein教授分享了他在这方面的研究和见解。

🦠 Epstein教授分析了COVID-19疫情应对中的失败，指出了领导力的不足和对基本传播参数R0的误解，以及超级传播者在疫情扩散中的关键作用。

Joshua Epstein talks to Jim about agent-based modeling, differential equations, computational archeology, COVID-19 failures, and much more...Joshua Epstein talks to Jim about Agent-Based Modeling (ABM) as a powerful tool in the social sciences. They start with the history of Sugarscape, an early ABM framework, the dynamics of ABM systems, types of agents, ABM vs models based on systems of differential equations, predicting vs explaining systems, Axelrod's demonstration of emergent racial segregation, computational archeology, the role of parameters in ABM, inverse evolutionary techniques, Josh's agent zero dynamics, the role of emotion in agents, COVID-19 response failures & lack of competent leadership, R0 misconceptions, superspreaders, and more.Episode TranscriptMentions & Recommendations Josh's book, Agent_Zero Josh's book, Generative Social Science Josh's book, Growing Artificial Societies Paper on Population growth & collapse in the Kayenta Anasazi Thomas Schelling's paper, Some Fun, Thirty-Five Years AgoJoshua Epstein is Professor of Epidemiology in the NYU College of Global Public Health, and founding Director of the NYU Agent-Based Modeling Laboratory, with affiliated appointments at The Courant Institute of Mathematical Sciences, and the College of Arts & Sciences.Prior to joining NYU, he was Professor of Emergency Medicine at Johns Hopkins, and Director of the Center for Advanced Modeling in the Social, Behavior, and Health Sciences, with Joint appointments in Economics, Applied Mathematics, International Health, and Biostatistics. Before that, he was Senior Fellow in Economic Studies at the Brookings Institution and Director of the Center on Social and Economic Dynamics. His research interest has been modeling complex social dynamics using mathematical and computational methods, notably the method of Agent-Based Modeling in which he is a recognized pioneer. For this transformative innovation, he was awarded the NIH Director’s Pioneer Award in 2008, an Honorary Doctorate of Science from Amherst College in 2010, and was elected to the Society of Sigma XI in 2018.