Machine Learning, Markov Chains, Deep Learning, Artificial Intelligence, Reinforcement Learning.
probability of an event occurring depends on the current state. A movement from A to E or vice versa depends on whether the ‘character’ was previously on A or E. If the previous state or location was A, then the probability of going to E is 0.4 while the probability of staying on A is 0.6