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Exploring the relations between Quantum-Like Bayesian Networks and decision-making tasks with regard to face stimuli

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journal contribution
posted on 14.02.2018, 12:25 by Catarina Moreira, Andreas Wichert
In this work, we propose to model the Categorization/Decision experiment from Busemeyer et al. (2009) with a Quantum-Like Bayesian Network. We also propose the representation of objects (or events) in an arbitrary n-dimensional vector space, enabling their comparison through similarity functions. The computed similarity value is used to set the quantum parameters in the Quantum-Like Bayesian Network model. Just like in the work of Pothos et al. (2013), we are not restricting our model to a vector in a two-dimensional space, but to an arbitrary multidimensional space. In the end, we conclude that the vector representation of the contents of the images can explain the paradoxical findings and the violations of the laws of classical probability that were found in some works of the literature, suggesting that the contents of the images can already produce some quantum effects.

History

Citation

Journal of Mathematical Psychology, 2017, 78, pp. 86-95

Author affiliation

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

Version

AM (Accepted Manuscript)

Published in

Journal of Mathematical Psychology

Publisher

Elsevier

issn

0022-2496

Copyright date

2016

Available date

05/11/2018

Publisher version

https://www.sciencedirect.com/science/article/pii/S0022249616301080?via=ihub

Notes

The file associated with this record is under embargo until 24 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Language

en