Uncertainty measurement with belief entropy on the interference effect in the quantum-like Bayesian Networks

Zhiming Huang, Lin Yang and Wen Jiang

Applied Mathematics and Computation, 2019, vol. 347, issue C, 417-428

Abstract: The Bayesian Network is a kind of probabilistic graphical models, having been applied to various fields for inference and learning. A quantum-like Bayesian Network has been proposed to model the Prisoner’s dilemma, the famous example of Social Dilemma games. Recent findings reveal that people’s behaviors violate the Sure Thing Principle in such games. The quantum-like Bayesian Network considers the people’s behaviors as wave functions and explains the violation as the interference effect. The determination of the interference effect is an essential part of modeling the Bayesian Network.

Keywords: Bayesian Networks; Quantum probability; Decision making; Social Dilemmas; Belief entropy; Sure Thing Principle (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300318310105
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:347:y:2019:i:c:p:417-428

DOI: 10.1016/j.amc.2018.11.036

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().