Markov chain
Markov chain: A process in which the next-state distribution depends only on the present state rather than earlier history. This property simplifies transitions and prediction. Sufficiently descriptive states are essential because independence from the past is a modelling assumption. This perspective connects the definition with practical behaviour in artificial intelligence systems.
In italiano: Catena di MarkovLegge II · Probabilità, softmax e modelli generativiThis property simplifies transitions and prediction. Sufficiently descriptive states are essential because independence from the past is a modelling assumption.