In this lecture, we highlight and expand on topics covered in Chapter 8 of Morecroft (2015) related to public sector applications of strategic modeling. We first focus on Forrester's Urban Dynamics model, which provides a dynamic hypothesis explaining systemic (endogenous) reasons for growth and eventual stagnation (and even decline) of cities. We then transition to a a more complex fisheries model that includes endogenous investment (i.e., a model where investment decisions are generated by the model as opposed to specified by the person operating the model). This allows us to discuss a more specific definition of "tipping points" phenomena. Ultimately, many related discussions (bifurcation analysis and endogenizing variables) are left for auxiliary videos (for the sake of time).
Subscribe to:
Post Comments (Atom)
Popular Posts
-
In this lecture, we review the fundamentals of numerical simulation (and Euler's method) for a simple clonal bacteria population system ...
-
In this lecture, we dig more deeply into the definition of a model and the types of models. We focus on how anything can be used as a model ...
-
In this lecture, we introduce the concepts of stochastic modeling (the use of randomness to simplify the modeling process) and chaos (the ex...
-
In this lecture, we demonstrate how to draw and simulate stock-and-flow diagrams in Insight Maker (a web-based System Dynamics Modeling (SDM...
-
In this lecture, we start to introduce "systems archetypes" as representing more complex aggregations of loops that give rise to c...
-
In this lecture, we start by reviewing numerical integration methods (Euler's method) for approximating solutions to ordinary differenti...
-
In this lecture, we introduce numerical simulation of dynamical systems (coupled ordinary differential equations) within the context of stoc...
-
We start this lecture with very brief tutorials of building, executing, and analyzing stock-and-flow diagrams in both Vensim PLE (from Venta...
-
In this lecture, we motivate the use of "causal loop diagrams" as a bridge for building system dynamics models as well as analyzin...
No comments:
Post a Comment