  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 normally depends on substantial experimentation or
the application of specialized analytic techniques that are not easily
approachable by most model builders. LoopX is a tool that builds understanding
of structure as it determines behavior by rendering and highlighting structure
responsible for behavior as the behavior unfolds. The tool builds on the Loops
that Matter (Schoenberg 2019) approach to analyzing loop dominance by
presenting the outcome of applying that theory in an easy to use, interactive,
web based piece of software. This is a significant step forward in the
challenges of automatically visualizing model behavior and linking it to
generative structures identified in Sterman (2000). LoopX can be used to
machine generate high quality causal loop diagrams from model equations at
different levels of detail based on the dynamic importance of links and
variables as well as animate them based on their importance from a loop
dominance perspective. Several examples are provided that demonstrate the
comprehensiveness and ease of use of the tool, important attributes supporting
its broad uptake.
