• Foundations of GAM Research. Methodological Guidelines for Designing and Conducting Research that Combines Games and Agent-based Models 

      Szczepanska, Timo (Doctoral thesis; Doktorgradsavhandling, 2023-12-04)
      <p>This thesis presents the development of the games and agent-based model methodology and provides methodological guidelines for using GAM research, i.e., combining games and agent-based models in research. <p>GAM research is rooted in complexity sciences and transdisciplinary research, offering valuable insights into complex, adaptable systems. GAM research has particular relevance in decision-making ...
    • GAM on! Six ways to explore social complexity by combining games and agent-based models 

      Szczepanska, Timo; Antosz, Patrycja; Berndt, Jan Ole; Borit, Melania; Chattoe-Brown, Edmund; Mehryar, Sara; Meyer, Ruth; Onngo, Stephan; Verhagen, Harko (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-27)
      GAM, combining games and agent-based models, shows potential for investigating complex social phenomena. Games offer engaging environments generating insights into social dynamics, perceptions, and behaviours, while agent-based models support the analysis of complexity. Games and agent-based models share the important ability both to input and output qualitative and quantitative data. Currently, ...
    • Quantum Leaper: A Methodology Journey From a Model in NetLogo to a Game in Unity 

      Szczepanska, Timo; Angourakis, Andreas; Graham, Shawn; Borit, Melania (Chapter; Bokkapittel, 2022)
      Combining Games and Agent-Based Models (ABMs) in a single research design (i.e. GAM design) shows potential for investigating complex past, present, or future social phenomena. Games offer engaging environments that can help generating insights into social dynamics, perceptions, and behaviours, while ABMs support the representation and analysis of complexity. We present here the first attempt to ...
    • Sensemaking of causality in agent-based models 

      Antosz, Patrycja; Szczepanska, Timo; Bouman, Loes; J. Gareth, Polhill; Jager, Wander (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-25)
      Even though agent-based modelling is seen as committing to a mechanistic, generative type of causation, the methodology allows for representing many other types of causal explanations. Agent-based models are capable of integrating diverse causal relationships into coherent causal mechanisms. They mirror the crucial, multi-level component of emergent phenomena and recognize the important role of ...