Lecture C1 - Building More Complex Causal Loop Diagrams (2020-02-04)

This lecture covers the process of building more complex causal loop diagrams. We first start with behavior over time trajectories and use them to guide what loops (and then what variables) should be included in our models. We then flip to a perspective where we focus on what kind of problem we're interested in modeling and add loops until we form basic archetypes (with expected behaviors over time) that we can further customize.