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arXiv · 1508.06973

The Relation Between Acausality and Interference in Quantum-Like Bayesian Networks

Catarina Moreira·Andreas Wichert
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Abstract

We analyse a quantum-like Bayesian Network that puts together cause/effect relationships and semantic similarities between events. These semantic similarities constitute acausal connections according to the Synchronicity principle and provide new relationships to quantum like probabilistic graphical models. As a consequence, beliefs (or any other event) can be represented in vector spaces, in which quantum parameters are determined by the similarities that these vectors share between them. Events attached by a semantic meaning do not need to have an explanation in terms of cause and effect.

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Catarina Moreira, Andreas Wichert. 2015-08-26. The Relation Between Acausality and Interference in Quantum-Like Bayesian Networks. https://arxiv.org/abs/1508.06973

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