Simulation for Interpretation: A Methodology for Growing Virtual Cultures

Authored by Martin Neumann, Ulf Lotzmann

Date Published: 2017

DOI: 10.18564/jasss.3451

Sponsors: European Union

Platforms: Repast

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

Agent-based social simulation is well-known for generative explanations. Following the theory of thick descriptionwe extend the generative paradigm to interpretative research in cultural studies. Using the example of qualitative data about criminal culture, the paper describes a research process that facilitates interpretative research by growing virtual cultures. Relying on qualitative data for the development of agent rules, the research process combines several steps: Qualitative data analysis following the Grounded Theory paradigm enables concept identification, resulting in the development of a conceptual model of the concept relations. The software tool CCD is used in conceptual modelling which assists semi-automatic transformation in a simulation model developed in the simulation platform DRAMS. Both tools preserve traceability to the empirical evidence throughout the research process. Traceability enables interpretation of simulations by generating a narrative storyline of the simulation. Thereby simulation enables a qualitative exploration of textual data. The whole process generates a thick description of the subject of study, in our example criminal culture. The simulation is characterized by a socio-cognitive coupling of agents' reasoning on the state of the mind of other agents. This reveals a thick description of how participants make sense of the phenomenology of a situation from the perspective of their world-view.

Tags

Agent-based modelling Norms qualitative data Social-sciences Interpretative research process Generative social science Thick description Cultural studies