In this first lecture of the semester, we discuss the course policies, motivation, and topic outline. We then start to discuss modeling in general -- leading up to a simple definition of a "model" as a tool for answering a "What If" question. The unavoidable modeling degrees of freedom may be open for misuse, even inadvertent. That said, "reality" is not the goal of modeling. All models are wrong, but good models (even if wrong) are crafted to be illuminating and useful; their lack of reality can actually make them more generalizable.
Subscribe to:
Post Comments (Atom)
Popular Posts
-
In this lecture, we start drawing Causal Loop Diagrams (introduced in the previous lecture) in the System Dynamics Modeling tool Vensim (fro...
-
Unfortunately, due to a technical issue, a recording of the first half of this lecture was lost. Consequently, this recording skips through...
-
In this lecture, we review how to simulate a the behavior over time of simple negative feedback dynamical system (the filling of water in a ...
-
Introduces the course, its structure, and its policies. Also begins to introduce the notion of a "model" and the kinds of system ...
-
In this lecture, we define two different types of delays that are frequently used in simulation – fixed delays and smoothing (or averaging)...
-
In this lecture, we continue to add complexity to system dynamics models in Vensim and Insight Maker by introducing two different forms of d...
-
In this lecture, we introduce two very different concepts – randomness and chaos. These two terms are often mistakenly used as synonyms, but...
-
Further discussion of what is a "model" (in general), highlighting a wide variety of models including those instantiated in the p...
-
In this video, we cover more detailed descriptions of "stocks", "flows", and "converters" as well as how they...
-
In this lecture, we motivate the use of causal loop diagrams (CLD's) to better understand how feedback loops interact in complex system...
No comments:
Post a Comment