Generative Social Science: Studies in Agent-Based Computational Modeling
By Joshua M. Epstein. 2007
804 citations recorded by the source corpus.
Subfields: Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/b64bbe06c65f8963be17c47a78e04938eb5b0e91
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistical and Nonlinear Physics
- Franziska Klügl-Frohnmeyer
- Charles M. Macal
- Ana Lúcia Cetertich Bazzan
- Dirk Helbing
- Takashi Nagatani
- Chris M. J. Tampère
- Nicola Bellomo
- Arne Kesting
Citations in the corpus
- Tackling Climate Change with Machine Learning (2019, neutral): “hen designing climate change strategies, it is critical to understand how organizations and individuals act and interact in response to different incentives and constraints. Agent-based models (ABMs) [706, 707] represent one approach used in simulating the actions and interactions of agents (people,”
- Collective Memory from a Psychological Perspective (2009, neutral): “agent-based modeling (Epstein 2006), constructuralism (Carley 1995), structuration theory (Giddens 1984), social information-processing theory (Salancik and Pfeffer 1978), network theory (Newman et al.”
- Describing human decisions in agent-based models - ODD + D, an extension of the ODD protocol (2013, background): “New opportunities to model bounded rationality are considered to be one of the major advantages of using an ABM approach (Epstein, 2006, p. 6), and there are by now many examples of ABMs that make use of bounded rationality (Jager et al., 2000; Duffy, 2001; Pahl-Wostl and Ebenhöh, 2004).”
- Systems Science Methods in Public Health (2012, neutral): “A fundamental property of complex systems is that they are dynamic, and some of the existing computational modeling tools (especially agent-based modeling, see below) allow for tracking systems as they change in real time (43).”
- 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.”
- Systemic Risks in Society and Economics (2010, background): “…S. E. Page (2007) Complex Adaptive Systems: An Introduction to Computational Models of Social Life Princeton University, Princeton, NJ. [22] J. M. Epstein (2007) Generative Social Science: Studies in Agent-Based Computational Modeling Princeton University, Princeton NJ. [23] B. Castellani and F.…”
- A review on agent-based technology for traffic and transportation (2013, background): “A general introduction into the underlying concepts of agent-based simulation from the social science point of view, together with a few selected examples can be found in Epstein (2007) and Gilbert (2007) gives a practical introduction to the basic ideas, model development and its implementation; a ”