We should consider step size when exploring CA patterns
* Rather than a simple trade-off between accuracy and computational time, specific step sizes pair with particular patterns to maintain an ability to organize themselves
* We should probably consider step size as an optimizable and explorable parameter when developing new experiments in continuous and neural CA, and maybe other dynamic systems supporting self-organizing behavior.
Back to first slide – Previous slide – Some CCA references – Supporting resources index