This article applies docking to two formal models of the same nonformal innovation model, in an attempt to verify and validate the models in the absence of quantitative real-world data. The comparison of the results of a fuzzy logic model (FL) and an agent-based model (ABM) indicates distributional equivalence. Blending various types of verification and validation and docking thus can help researchers formulate a successful strategy, even in situations in which quantitative data are scarce.
|Journal||Emergence: Complexity and Organization|
|Publication status||Published - 2014|