Markov chain visualisation

I’ve developed a simple framework in Pharo Smalltalk that enables easy simulations using markov chain models. Markov chains are, roughly, directed graphs where each edge has a transition probability. So, given a current state, the next one is automatically determined randomly and according to the given probabilities. Visualising the markov chain graph and the state transitions would make following a markov chain simulation much more intuitive.

for more info look at: http://setosa.io/blog/2014/07/26/markov-chains/

desired knowledge: Smalltalk, Roasal

Contact Person: Boris Spasojević

Last changed by oscar on 7 February 2017