Reinforcement Learning, Markov Decision Process, Markov Chains, Deep Learning, Artificial Intelligence.
same as probability of state s5 given s4,s3,s2 and s1 has occurred. Thus to predict s5, s4 is enough and the information associated with s3, s2 and s1 is not necessary. Such a sequence of possible events is called as Markov chain. A simple example of Markov chain is a game of snakes and ladders