Generative Social Science: Studies in Agent‐Based Computational Modeling. By Joshua M. Epstein. Princeton, N.J.: Princeton University Press, 2007. Pp. 352. $49.50.
By Michael W. Macy. 2008
728 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/649061588075a6268d3a3d8b805b01038f3f2228
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Citations in the corpus
- On Economic Growth, Marketing Systems, and the Quality of Life (2009, unknown): “The modeling of emergent processes explored in agent-based modeling is also particularly relevant (Epstein and Axtell 1996; Epstein 2006).”
- Micro-price trading in an order-driven market (2014, methodology): “An explanation of a particular phenomenon is provided by: hypothesizing the behavior of agents, designing and implementing the appropriate computational experiment, and comparing the properties of the simulation to properties of empirical data [2], [3].”
- Micro-Macro Links and Microfoundations in Sociology (2011, background): “…(Macy and Flache, 2009, is a concise introduction to agent-based computational models; Sawyer, 2003, discusses the link with micro-macro models; Epstein, 2006, provides a manifesto).5 These models rely on simulation methods rather than on analytical solutions, allowing for much more…”
- Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models (2008, background): “In the social sciences, agent models explore phenomena from the emergence of segregation to organizational evolution to market dynamics (Schelling 1978, Levinthal and March 1981, Carley 1992, Axelrod 1997, Lomi and Larsen 2001, Axtell et al. 2002, Epstein 2006, Tesfatsion 2002).”
- The application of systems thinking in health: why use systems thinking? (2014, unknown): “Epstein [15]”
- Everything you need to know about agent-based modelling and simulation (2016, methodology): “Epstein (2006) argues that the ability to grow arti fi cial societies using ABMS holds out the prospect of a new, generative , kind of social science.”