Written by Elda Cervantes and Rithika Devarakonda

Markov’s chain is a great tool to find probabilities. We take an automaton in relation to a probability problem, which relates to propositional logic. They are useful when looking at how the present impacts the future without taking into account the past. In the modern world, Markov Chains are used by companies and organizations. This concept is useful in departments like weather forecasting or when creating marketing strategies. Markov’s chain is a real world application of finite automata like DFA’s. …

Elda Cervantes

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