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Explore powerful simulation algorithms for System Dynamics and Agent Based Modeling. Use System Dynamics to gain insights into your system and Agent Based Modeling to dig into the details. Types of Modeling

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Explore What Others Are Building

Here is a sample of public Insights made by Insight Maker users. This list is auto-generated and updated daily.

Insight diagram
Hybrid conceptual mapping of relationships involving system causal loop diagram linked with ABM. Output of the problem conceptualization phase of the modelling process prior to developing a computational hybrid model in AnyLogic. Includes Nate Osgood's O PARTIES extension of Ross Hammond's PARTE. See also earlier Canadian version Insight
Conceptual map of hybrid CLD and ABM
Profile photo Geoff McDonnell
3
Insight diagram
Simplified system dynamics model of the global carbon cycle. The model represents carbon exchange among four aggregated reservoirs: atmosphere, terrestrial biosphere, surface ocean, and deep ocean. Fossil fuel emissions enter the atmosphere as an external forcing, while internal flows redistribute carbon between the atmosphere, land, surface ocean, and deep ocean. The model is intended to explore transient behavior, natural carbon sinks, atmospheric carbon persistence, and the long-term regulating role of the ocean.
sensitivity GlobalCarbonBalance
Profile photo Carlos Campuzano Calvo
last week
Insight diagram

An implementation of the classic Game of Life using agent based modeling.

Rules:
  • A live cell with less than two alive neighbors dies.
  • A live cell with more than three alive neighbors dies.
  • A dead cell with three neighbors becomes alive.
@LinkedIn, Twitter, YouTube
The Game of Life
Profile photo Gene Bellinger
13
Insight diagram
El juego de la cerveza
Mini RETO Final: Simulación Discreta + Simulación Diámica
Profile photo Odette Jimenez
3 2 weeks ago
Insight diagram
World4 is a predictive model for world population. Population has grown hyper-exponentially in the last millenium, with the doubling time decreasing from 900 years  in 1000 CE to a minimum of ~35 years in 1963 CE. Technology is defined as that which decreases the death rate and/or increases the effective birth rate (i.e. by decreasing infant mortality). Technology grows exponentially, therefore population fits a hyper-exponential (exponent within an exponent). Models for the end of growth are explored using equations that express the ways humans are depleting Earth's biocapacity, the nature of resource depletion, and the relationship between natural resources and human carrying capacity. This simple model, containing just two closed systems, captures the subtle shifts in the population trajectory of the last 50 years. Specifically, hyperexponential growth has given way to subexponential growth. A peak is predicted for the time around 2028.  [Bystroff, C. (2021). Footprints to singularity: A global population model explains late 20th century slow-down and predicts peak within ten years. PloS one, 16(5), e0247214.]
World4.5
Profile photo Christopher Bystroff
22 5 months ago
Insight diagram
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/
Global Carbon Cycle
Profile photo France Caron
573