Christian Erik Kampmann

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Linking feedback loops and system behavior is part of the foundation of system dynamics, yet the lack of formal tools has so far prevented a systematic application of the concept, except for very simple systems. Having such tools at their disposal would be a great help to analysts in understanding large, complicated simulation models. The paper applies(More)
An experiment with a simulated macroeconomic system demonstrates that the decision-making processes of agents can produce deterministic chaos. Subjects managed capital investment in a simple multiplier-accelerator economy. Performance, however, was systematically suboptimal. A model of the subjects' decision rule is proposed and related to prior studies of(More)
Formal tools to link system dynamics model’s structure to the system modes of behavior have recently become available. In this paper, we aim to expand the use of these tools to perform the model’s policy analysis in a more structured and formal way than the exhaustive exploratory approaches used to date. We consider how a policy intervention (a parameter(More)
The purpose of the System Dynamics method is to study the relationship between structure and behavior in non-linear, dynamic systems. In such systems, the significance of various structural components to the behavior pattern exhibited, changes as the behavior unfolds. Changes in structural significance, in turn modifies that behavior pattern, which, in(More)
We provide a review of different approaches to linking model structure to observed behavior with a particular view towards using models for theory building. We identify four such approaches, namely the " classical " approach, the " pathway participation " approach, the " eigenvalue elasticity " approach, and the " eigenvector " approach, respectively. We(More)
Prior research shows people suffer from misperceptions of feedback in dynamic settings, generating systematic dysfunctional behavior in the presence of dynamic complexity settings with multiple feedback loops, time delays, and nonlinearities. However, prior work has not adequately mapped the effect of these elements of complexity on performance. We report(More)