File(s) under permanent embargo

Reason: This item is currently closed access.

The Synchronicity Principle Under Quantum Probabilistic Inferences

journal contribution
posted on 15.10.2019, 10:56 by Catarina Moreira, Andreas Wichert
We propose a new quantum Bayesian Network model in order to compute probabilistic infer¬ences in decision making scenarios. The application of a quantum paradigm to decision making generates interference effects that influence probabilistic inferences. These effects do not exist in a classical setting and constitute a major issue in the decision process, because they generate quantum parameters that highly increase with the amount of uncertainty of the problem. To automatically compute these quantum parameters, we propose a heuristic inspired by Jung’s Synchronicity principle. Synchronicity can be defined by a significant coincidence that appears be¬tween a mental state and an event occurring in the external world. It is the occurrence of meaningful, but not causally connected events. We tested our quantum Bayesian Network together with the Synchronicity inspired heuristic in empirical experiments related to categorization/decision in which the law of total probability was being violated. Results showed that the proposed quantum model was able to simulate the observed empirical findings from the experiments. We then applied our model to a more general scenario and showed the differences between classical and quantum inferences in a Lung Cancer medical diagnosis Bayesian Network.

History

Citation

NeuroQuantology, 2015, 13 (1)

Author affiliation

/Organisation/COLLEGE OF SOCIAL SCIENCES, ARTS AND HUMANITIES/School of Management

Version

AM (Accepted Manuscript)

Published in

NeuroQuantology

eissn

1303-5150

Copyright date

2015

Publisher version

https://www.neuroquantology.com/index.php/journal/article/view/788

Notes

The file associated with this record is under a permanent embargo in accordance with the publisher's policy. The full text may be available through the publisher links provided above.

Language

en