GSD simulation

Adapted from Fig.1. and 2, from Ana V Diez Roux (2011) Complex Systems Thinking May Help Us Transcend Current Impasses in Health Disparities Research Am J Public Health 2011;101 1627-1634  http://ajph.aphapublications.org/cgi/content/abstract/101/9/1627?etoc

As part of becoming familiar with InsightMaker, the purpose of this model is to merely replicate Gene Bellinger's completed "Moose_Wolves" model.  

All credit needs to be given to Gene.   Thank you InsightMaker.com for making it so easy to rebuilt and model and provide details on equations, algorithms.  

WIP based mostly on Jan Toporowski 2013 vol 1 and 2018 vol 2 books on Michal Kalecki: An Intellectual Biography  

From Fig 12.2 p317 Pigliucci M and Muller GB (2010) Evolution: The Extended Synthesis

This is the Project Challenge in the Insight Maker Essentials lesson on Kumu. This lesson was developed by Gene Bellinger. I developed this relationship diagram as I was following along watching Gene introduce Insight Maker.

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Modified from Sterman (2006) article and Gene Bellinger's Assumptions IM-351 by Dr Rosemarie Sadsad UNSW See also Complex Decision Technologies IM and IM-63975

The calorie reduction by Gene, copied so I can include stress, high intensity exercise, sleep and carb restriction.

Model is created by Gene Bellinger. Original model can be accessed from https://insightmaker.com/insight/2249/Adjusting-the-Shower-SFD.

This is a stock-flow consistent model, namely a modified version of the simplest (PC) model with money and boonds.

Godley/Lavoie (2006), chapter 4

(I had to change the equation for consumption demand. The disposable income now enters with a time lag of one period. Otherwise the model would be recursive and would not work in Insight Maker. Thanks to Gene for support.)

​From Fig 1.1 p11  Pigliucci M and Muller GB (2010) Evolution: The Extended Synthesis. This is a shift in emphasis from statistical correlation to mechanistic causation (p12), including the conditions for the origin and innovation of traits (p13). It overcomes the gradualism, externalism and gene centrism of the Modern Synthesis. Non-gradual change is a property of complex dynamical systems. EvoDevo processes generate particular forms of change rather than others.Genes are followers in the evolutionary process that capture the emergent interactions among environment, development and inheritance into genetic-epigenetic circuits, which are passed to and elaborated on in subsequent generations (p14).