Case study data for validating agent-based models

Author: Professor Sharon Purchase
Affiliation: The University of Western Australia

Paper Details

The paper reports on new ways for developing agent-based simulation models (ABM) from case based data using a suite of qualitative data analysis. Secondary data sources and interviews are analysed to better understand the drivers for innovation in business to business (B2B) networks. Case data provides nuanced and rich descriptions of complex business network processes under-exploited in ABM.
By combining the case data with ABM, we extend and enrich the use of qualitative data in social simulation and provide new ways of validating simulation models when quantitative data is scarce.