1 citations · 3 across the 3 of their papers we have counts for
6 papers
Finding the Loops that Matter
Robert Eberlein, William Schoenberg
The Loops that Matter method (Schoenberg et. al, 2019) for understanding model behavior provides metrics showing the contribution of the feedback loops in a model to behavior at ea…
Automated Diagram Generation to Build Understanding and Usability
William Schoenberg
Causal loop and stock and flow diagrams are broadly used in System Dynamics because they help organize relationships and convey meaning. Using the analytical work of Schoenberg (20…
Seamlessly Integrating Loops That Matter into Model Development and Analysis
William Schoenberg, Robert Eberlein
Understanding why models behave the way they do is critical to learning from them, and to conveying the insights they offer to a broad audience. The Loops that Matter methodology a…
LoopX: Visualizing and understanding the origins of dynamic model behavior
William Schoenberg
It is a fundamental precept of System Dynamics that structure leads to behavior. Clearly relating the two is one of the roadblocks in the widespread use of feedback models as it no…
Understanding model behavior using loops that matter
William Schoenberg, Pål Davidsen, Robert Eberlein
The link between structure and behavior is central to System Dynamics, but effective tools for understanding that relationship still elude us. The current state of the art in the f…
Feedback System Neural Networks for Inferring Causality in Directed Cyclic Graphs
William Schoenberg
This paper presents a new causal network learning algorithm (FSNN, Feedback System Neural Network) based on the construction and analysis of a non-linear system of Ordinary Differe…