Generating an Agent Based Model from Interviews and Observations: Procedures and Challenges

Conference paper

DOI: 10.1007/978-3-642-39829-2_32

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 229)
Cite this paper as:
Schenk T.A. (2014) Generating an Agent Based Model from Interviews and Observations: Procedures and Challenges. In: Kamiński B., Koloch G. (eds) Advances in Social Simulation. Advances in Intelligent Systems and Computing, vol 229. Springer, Berlin, Heidelberg

Abstract

In the course of an increasing impetus to connect agent based simulations to empirical data, also the potentials of qualitative social science methods to inspire such models are explored. In this work, qualitative interviews, participating observation, and document analysis are combined to analyze a political process that relies heavily on the communication and the collaboration of stakeholders to serve as a text based data source for an agent based model of the process. The simulation outcomes are also produced in text format so that they are easily understandable to stakeholders and other users. The simulation reproduces the discussions among the stakeholders and their subsequent decisions, is able to react on changes in their general settings, and can be used to explore different sets of rules for the decision processes and their results.

Keywords

Empirical modeling qualitative reasoning communication cooperation narratives 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of GeographyUniversity of LeipzigLeipzigGermany

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