Build Models in your Browser

Use Insight Maker to create rich pictures and causal loop diagrams. Then make shareable simulation models. All right in your browser, for free. Just sign up for a free account and start modeling now.

System Dynamics Models

System Dynamics is a powerful approach for modeling change within systems and Insight Maker is perfect for building System Dynamics models.

Agent Based Models

Explore the interactions between dynamic agents. Use Insight Maker to define agent behavior and simulate a population of agents interacting.

Create an Insight Maker account to start building models. Insight Maker is completely free.

Start Now

Insight Maker runs in your web-browser. No downloads or plugins are needed. Start converting your ideas into your rich pictures, simulation models and Insights now. Features

Simulate

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

Collaborate

Sharing models has never been this easy. Send a link, embed in a blog, or collaborate with others. It couldn't be simpler. More

Free & Open

Build your models for free. Share them with others for free. Harness the power of Insight Maker for free. Open code mean security and transparency. More

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.

This is my first attempt at creating a simple Agent Based Simulation Model. Nothing fancy, just something that works.

@LinkedIn, Twitter, YouTube

Your First ABM

Gene Bellinger

Causal loop representations of macroeconomics taken from the System Dynamics literature contrasted with Forrester's main analysis of social and business organization layers See also Saeed's Forrester Economics IM-183285

Macroeconomics causal loop diagrams

Geoff McDonnell

8 4 months ago

STEM-SM combines a simple ecosystem model (modified version of VSEM; Hartig et al. 2019) with a soil moisture model (Guswa et al. (2002) leaky bucket model). Outputs from the soil moisture model influence ecosystem dynamics in three ways.

(1) The ratio of actual transpiration to maximum evapotranspiration (T/ETmax) modifies gross primary productivity (GPP).

(2) Degree of saturation of the soil (Sd) modifies the rate of soil heterotrophic respiration.

(3) Water limitation of GPP (by T/ETmax) and of soil nutrient availability (approximated by Sd) combine with leaf area limitation (approximated by fraction of incident photosynthetically-active radiation that is absorbed) to modify the allocation of net primary productivity to aboveground and belowground parts of the vegetation.

Ecosystem dynamics in turn influence flows of water in to and out of the soil moisture stock. The size of the aboveground biomass stock determines fractional vegetation cover, which modifies interception, soil evaporation and transpiration by plants.

References:

Guswa, A.J., Celia, M.A., Rodriguez-Iturbe, I. (2002) Models of soil moisture dynamics in ecohydrology: a comparative study. Water Resources Research 38, 5-1 - 5-15.

Hartig, F., Minunno, F., and Paul, S. (2019). BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics. R package version 0.1.7. https://CRAN.R-project.org/package=BayesianTools

Simple Terrestrial Ecosystem Model - Soil Moisture (STEM-SM)

Lisa Belyea

226

This simulation allows you to compare different approaches to influence flow, the Flow Times and the throughput of a work process.

By adjusting the sliders below you can

observe the work process without any work in process limitations (WIP Limits),
with process step specific WIP Limits* (work state WIP limits),
or you may want to see the impact of the Tameflow approach with Kanban Token and Replenishment Token
or see the impact of the Drum-Buffer-Rope** method.

* Well know in (agile) Kanban

** Known in the physical world of factory production

The "Tameflow approach" using Kanban Token and Replenishment Token as well as the Drum-Buffer-Rope method take oth the Constraint (the weakest link of the work process) into consideration when pulling in new work items into the delivery "system".

You can also simulate the effects of PUSH instead of PULL.

Feel free to play around and recognize the different effects of work scheduling methods.

If you have questions or feedback get in touch via twitter @swilluda

The work flow itself

Look at the simulation as if you would look on a kanban board.

The simulation mimics a "typical" software delivery process.

From left to right you find the following ten process steps.

Input Queue (Backlog)
Selected for work (waiting for analysis or work break down)
Analyse, break down and understand
Waiting for development
In development
Waiting for review
In review
Waiting for deployment
In deployment
Done

Kanban Board Simulation - WIP Limit, Tameflow Kanban Token and Drum-Buffer-Rope

Stefan Willuda

Simulating Hyperinflation for 3650 days.

If private bond holdings are going down and the government is running a big deficit then the central bank has to monetize bonds equal to the deficit plus the decrease in private bond holdings. We don't show the details of the central bank buying bonds here, just the net results.

See blog at http://howfiatdies.blogspot.com for more on hyperinflation, including a hyperinflation FAQ.

Hyperinflation Simulation

Vincent Cate

Fear factor, Pride smooth transition, population dynamics

Lions still as stock, not parameter.
Water still fixed

full_model_functioning

Rutger

8 last week