> And then, at some point, it clicked: Chutes and Ladders [...] can be modeled as a Markov process!
I know some basics about Markov processes, and after reading that and watching the visualization, I thought Yes, what's so special about it?
Well, the author uses this property to decompose the complicated and chaotic system into a set of understandable characteristics. Every once in a while, I'm astonished about how some complex system can be reasoned about in sn organized way, and that is one such example.
I also didn't realize how useful Markov processes were in terms of allowing things to be analyzed. The interesting things start at the Shannon entropy section and continue to the end. Especially impressive is how elegantly stationary states can be found.
> And then, at some point, it clicked: Chutes and Ladders [...] can be modeled as a Markov process!
I know some basics about Markov processes, and after reading that and watching the visualization, I thought Yes, what's so special about it?
Well, the author uses this property to decompose the complicated and chaotic system into a set of understandable characteristics. Every once in a while, I'm astonished about how some complex system can be reasoned about in sn organized way, and that is one such example.
I also didn't realize how useful Markov processes were in terms of allowing things to be analyzed. The interesting things start at the Shannon entropy section and continue to the end. Especially impressive is how elegantly stationary states can be found.