Epidemic Simulation Problem

[AndersDeleuran]

Generally speaking, when modelling dynamic systems you need at least:

A) Some persistent variable mechanism (i.e. to manage the state of your system/agents)
B) Some update mechanism (i.e. to step the system into the next iteration)

In GHPython, problem A can be solved using at least two methods: Notably the component local if "foo" not in globals() method, and the Rhino global sticky method. Both are covered in this old thread, and I’d recommend using the former, unless you need to read the system from outside the component where you iterate it. Problem B can of course be solved using a timer/trigger, or by scripting the component to update itself (recent example here).

I wrote some more notes in this topic here:

Real Time GH Progress

I wrote a bit about how I develop real-time dynamic systems using GHPython here: With a very simple example here (of making a persistent/static mutable variable and updating the component at an interval): EDIT: Here’s an example of how one might implement a live Kangaroo2 solver in GHPython:

And I’d highly recommend going through @diff-arch’s excellent learning example provided here:

Conway's Game of Life in GHPython

Hi everybody, A couple of years ago, when I first encountered the concept of Conway’s Game of Life, oftentimes referred to as cellular automaton, during my early architecture studies, I was kind of baffled and intrigued by it. For those of you, not familiar with architectural academia, the Game of Life, like the Vornoi diagram, particles, and other geometrical curiosities are often times experimented with to produce seemingly avant-garde design objects and/or buildings. Back then my overall CG …