System Modeling 5: Gene Regulation Instructions
Gene Regulation Instructions - System Modeling 5
An example of why it's so critical to understand where the boundaries are when considering a system. (developed from Eric Wolstenholme's Archetype examples by Gene Bellinger)
YouTube Video
Hospital Early Discharge Boundaries
Level of biological organization linking cell level division and population level evolution
Biology levels and genetics
Small Intestine example from Progress in Biophysics & Molecular Biology Special Issue 2016 From the century of the genome to the century of the organism: New theoretical approaches paper on organization. Compare with Bogdanov (click tag)
Biology Principles of Organization and Variation 1
System Modeling 5: Gene Regulation
Modeling 5: Gene Regulation
System Modeling 5: Gene Regulation Instructions
SM5: Gene Regulation Instructions
This is a stock-flow consistent model, namely the simplest (SIM) model with government money. I have added imports and exports and an exchange rate which has an influence on consumption demand via real disposable income and real foreign demand.
Godley/Lavoie (2006), chapter 3
(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.)designed by Dirk Ehnts (blog)
SIM model, open economy version
Gene Bellinger's CST course requires several causation models to be developed. This is my first sheet of such models.
Certified Systems Thinker #1
Go to Gene Bellinger's insight version with video link This common archetype of systems that include relapse or recidivism allows exploration of the unintended effects of increasing upstream capacity and swamping downstream capacity. The increase in the relapse rate eventually returns to swamp upstream capacity as well. A social welfare example, based on a TANF case study, from How Small System Dynamics Models Can Help the Policy Process. N. Ghaffarzadegan, J. Lyneis, GP Richardson. System Dynamics Review 27,1 (2011) 22-44 abstract Conference version here
Swamping Insight
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).
Evolution extended synthesis
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.)designed by Dirk Ehnts (blog)
PC model