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The limits to growth structure is based on the basic growth structure. And, as should be obvious, nothing grows forever as growth requires resources. Those required resources become a limits to growth. See also  Archetypes . Video
Limits To Growth Archetype
The limits to growth structure is based on the basic growth structure. And, as should be obvious, nothing grows forever as growth requires resources. Those required resources become a limits to growth. See also Archetypes.
Limits to Growth
Gene Bellinger
68 10 months ago
Ce modèle simule la croissance d'une population dans des conditions idéales, inspiré du cas des souris invasives sur une île isolée et sans prédateurs. Contrairement au modèle précédent (flux constants), la croissance ici n'est plus un nombre fixe. Elle est proportionnelle à la taille de la po
Population Dynamics

Ce modèle simule la croissance d'une population dans des conditions idéales, inspiré du cas des souris invasives sur une île isolée et sans prédateurs.

Contrairement au modèle précédent (flux constants), la croissance ici n'est plus un nombre fixe. Elle est proportionnelle à la taille de la population : plus il y a d'individus, plus il y a de naissances ! C'est le principe de la croissance exponentielle.

Les Composants du Modèle :

  • Variable d'état : L'Effectif de la population (N), qui est au cœur du système.

  • Variables forçantes & Taux : Les conditions idéales de l'île (absence de prédateurs, nourriture abondante) sont les "variables forçantes" qui déterminent les taux par individu b (natalité) et d (mortalité). Vous pouvez régler ces taux avec les curseurs.

  • Flux : Les flux de Naissances et de Morts ne sont plus constants. Ils dépendent de la variable d'état et des taux (calculés comme b*N et d*N), créant la boucle de rétroaction caractéristique de ce modèle.

  • Indicateurs : Le modèle calcule aussi le taux net r, son équivalent discret λ, et la transformation LN(N) pour l'analyse.

Votre Mission d'Exploration : Manipulez les taux b et d pour observer la forme de la croissance. Explorez les propriétés de ce modèle, comme le temps de doublement et l'effet "boule de neige", en cliquant sur le bouton "SIMULATE" en haut à droite !

Modèle BIDE Taux Constants
Florian Orgeret
yesterday
Goodwin cycle  IM-2010  with debt and taxes added, modified from Steve Keen's illustration of Hyman Minsky's Financial Instability Hypothesis "stability begets instability". This can be extended by adding the Ponzi effect of borrowing for speculative investment.
Macroeconomics Keen Economics Minsky

Goodwin cycle IM-2010 with debt and taxes added, modified from Steve Keen's illustration of Hyman Minsky's Financial Instability Hypothesis "stability begets instability". This can be extended by adding the Ponzi effect of borrowing for speculative investment.

Minsky Financial Instability Model
Geoff McDonnell
27
A stock-and-flow simulation model  to simulate short-term environmental impacts vs. long-term benefits of energy transition
A stock-and-flow simulation model to simulate short-term environmental impacts vs. long-term benefits of energy transition
Env Net Benefit Dynamic
Gift
3 last week
As initially proposed by Pr. William M White of Cornell University: http://www.geo.cornell.edu/eas/education/course/descr/EAS302/302_06Lab11.pdf http://www.eas.cornell.edu/
Environment
As initially proposed by Pr. William M White of Cornell University:
Global Carbon Cycle
France Caron
526
Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19. With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease. We start with an SIR model, such as that featured in the MAA model featured
Mat375 SIR Math Modeling COVID-19 Coronavirus SIRD
Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in

Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-4, we reproduce their figure

With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.

Resources:
Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death
Andrew E Long
60