Generative Social Science 在线电子书 图书标签: 系统科学 社会学 学术女 历史 Networks Epstein Computation Complexity
发表于2024-11-22
Generative Social Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
Philip Ball, Nature
"Explores phenomena as diverse as civil violence, retirement, the emergence of classes, and the spread of epidemics."
Review
Kenneth J. Arrow, Stanford University : Joshua Epstein has been a leader in articulating and pursuing the agent-based generative approach to social science. This collection of his papers exemplifies both the depth of his methodological positions and the fruitfulness of agent-based analysis. The power of simple rules of local social interaction in generating explanations of complex social behavior is beautifully illustrated, most notably in the study of population fluctuations in Anasazi societies. I am convinced that agent-based approaches to economics will become a major tool.
Robert Axelrod, University of Michigan : Generative Social Science is an outstanding example of an exciting paradigm shift in the analysis of dynamic social systems. Joshua Epstein is a virtuoso at using simple models to reveal surprising insights about the dynamics of a wide range of phenomena such as epidemics, status hierarchies, civil violence, and even the timing of retirement.
John Duffy, University of Pittsburgh : Agent-based computational modeling represents an important new interdisciplinary approach to doing social science. Joshua Epstein, a pioneer of this approach, provides in Generative Social Science both a spirited defense of agent-based modeling and a dazzling display of the method's power.
Duncan K. Foley, New School for Social Research : Epstein is a central and outstandingly creative figure in the emerging social science literature developed through agent-based simulation studies. Epstein offers an undogmatic, balanced account of his project and methods and shows in what specific ways they can open up whole broad questions that are simply unapproachable with traditional methods. The chapters address a stunningly wide range of problems, and each chapter has a distinctive and stimulating contribution to make.
Peter Hedstrom, University of Oxford : Generative Social Science is an important book that should be read by all who have a serious interest in the social sciences.
Brian Skyrms, University of California, Irvine : The contents are important, and until now have appeared in scattered and sometimes obscure places. The new commentary that the author has added ties these together in a coherent whole illustrating this new approach to the social sciences.
John Steinbruner, University of Maryland : This book is leading what is likely to be an increasingly important line of thought. The central argument and its illustrative applications present conceptual and methodological innovations that clearly have enormous potential. The writing is concise, accurate, balanced, and entertaining. Readers will be broadened, challenged, provoked, and inspired.
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Generative Social Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024