Empirically Based, Agent-based models

By Marco A. Janssen, Elinor Ostrom. 2006

641 citations recorded by the source corpus.

There is an increasing drive to combine agent-based models with empirical methods. An overview is provided of the various empirical methods that are used for different kinds of questions. Four categories of empirical approaches are identified in which agent-based models have been empirically tested: case studies, stylized facts, role-playing games, and laboratory experiments. We discuss how these different types of empirical studies can be combined. The various ways empirical techniques are used illustrate the main challenges of contemporary social sciences: (1) how to develop models that are generalizable and still applicable in specific cases, and (2) how to scale up the processes of interactions of a few agents to interactions among many agents.

Subfields: Demography, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9bcd03183e22a3213e49a9dad263ed9c49fd6112

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Citations in the corpus

A Third Wave in the Economics of Climate Change (2015, background): “First, case studies, surveys and econometric findings can be used to calibrate model parameters and agent behavioural assumptions (Janssen and Ostrom 2006).”
Comparison of empirical methods for building agent-based models in land use science (2007, neutral): “While our discussion focuses on a comparison of the empirical methods for informing each of these components in land use ABMs, other axes of measurement and comparison exist (Agarwal et al. 2002, Parker et al. 2002, Janssen and Ostrom 2006, Parker et al., in press).”
Systems integration for global sustainability (2015, background): “tion for policymaking in issues such as economic development andmanagement of common spaces (90, 91).”
The effects of Labour Market Reforms upon Unemployment and Income Inequalities: an agent based model (2018, neutral): “Rather, they are evaluated in terms of external consistency, that is their ability to robustly replicate relevant empirical regularities, that is, stylized facts (Janssen and Ostrom, 2006).”
Spatial agent-based models for socio-ecological systems: Challenges and prospects (2013, background): “Substantial attention has also been given to systemizing approaches to empirically characterize and parameterize agents' behavior in ABMs for SES (Janssen and Ostrom, 2006; Robinson et al., 2007; Windrum et al., 2007; Valbuena et al., 2008; Smajgl et al., 2011).”
Understanding the relationships between ecosystem services and poverty alleviation: A conceptual framework (2014, positive): “…interaction between ecosystem services and poverty alleviation through an SES lens: such analyses can support the integration of natural and social sciences, and are associated with complex systems science and ideas of dynamism, non-linearity, uncertainty and thresholds (Janssen and Ostrom, 2006b).”
A review of agent‐based modeling of climate‐energy policy (2020, methodology): “Commercial databases were used to obtain data about firms, such as prices and stocks of products for certain industries (Mueller & de Haan, 2009), or about consumers, such as car ownership, and driving preferences and behaviour (Kangur et al., 2017). Surveys are frequently used as a method for param”