Genetic Simulation, originally based of XKCD's what-if dnd character model of inheritance, found in Randall Monroe's book "What If" There are two kinds of genes - multipliers and constants.
| Punnets [] | C | M |
|---|---|---|
| C | max(C, C) | M*C |
| M | M * C | always 1 (probably a fatal mutation) |
It creates some smooth variabilty with the possibility of wild jumps as well as fatal mutations. It works best when there are only a few multipliers in the gene pool of the species - when they get to too high of a percent, there are too many babies with fatal mutations (1's)
Currently there is a well tested genome module, a non-graphical selective breeding simulation and a graphical cellular sandbox which is a red-queen battle between plants and herbivores. The graphical simulation uses tkinter, but I'll probably port to pygame for performance enhancements at some point.
The cellular sandbox is really cool and all, but I'd at some point like to make a non-quantized world - where creatures might evolve in a more complex way - like evolving behavior