Simulation and Interpretation: A Research Note on Utilizing Qualitative Research in Agent-Based SimulationMartin Neumann* and Ulf Lotzmann
Institute for Information Science, University of Koblenz, Universitaetsstr. 1, 56070 Koblenz, Germany
- Corresponding Author:
- Martin Neumann
Institute for Information Science, University of Koblenz
Universitaetsstr. 1, 56070 Koblenz, Germany
Tel: 49(0)170 6965784
E-mail: [email protected]
Received date: February 01, 2016; Accepted date: February 15, 2016; Published date: February 20, 2016
Citation: Neumann M, Lotzmann U (2016) Simulation and Interpretation: A Research Note on Utilizing Qualitative Research in Agent-based Simulation. Int J Swarm Intel Evol Comput 5:129. doi:10.4172/2090-4908.1000129
Copyright: © 2016 Neumann M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The paper provides a summarizing review of our research on integrating qualitative methodologies in agentbased social simulation. This holds for both the development of behavioural rules for software agents as well as for interpreting simulation results. Specifically we rely on Grounded Theory, a well-established methodology in qualitative social research. Development of agent rules relies on open coding in a Grounded Theory approach. Interpreting simulation results in a coherent story line relies on theoretical coding in a Grounded Theory approach. This is demonstrated at two examples: the first example shows how qualitative textual data is transformed in a conceptual model for agent-based simulation. The second example shows how numerical simulation results reveal a story line of a case. For this purpose the concept of stylized facts is consulted.