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