Abstract for: Identifying Feedback Concepts Using Loops that Matter

When analyzing models using Loops that Matter, there are often two or more loops that basically do the same thing. By combining these loops into a loop concept, and then presenting a smaller number of loops for analysis, the understanding of more complex models becomes much easier. In this paper we show how combining loops based on correlation can streamline model analysis.