Agent Decision-Making Heterogeneity—Agent (Meta)Frameworks for Agent-Based Modelling

Agent-based models have continuously increased regarding the implementation of the complexity of agent decision making. This poses questions for the ontological foundation of ABM as well as having implications for research design and data collections. This paper situates the meta-modelling framework CAFCA within other contextual and multidimensional agent-architectures, in particular focusing on its contributions to ontology and research design. We also present the challenges for data collection as a consequence of this increased representational complexity.