Interference Effects in Quantum Belief Networks

30 Sep 2014Catarina MoreiraAndreas Wichert

Probabilistic graphical models such as Bayesian Networks are one of the most powerful structures known by the Computer Science community for deriving probabilistic inferences. However, modern cognitive psychology has revealed that human decisions could not follow the rules of classical probability theory, because humans cannot process large amounts of data in order to make judgements... (read more)

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