Quantum-like model on multiple lotteries selection

This study proposes an agent-based quantum-like model to investigate the individual selection among three or more lotteries while incorporating the decision-making risk and uncertainty. We extend the classical expected utility functions with quantum probabilities and construct the compound belief state to compare one specific lottery belief state against others. The involved decision-making process is represented formally by the comparison operator, which can be decomposed into a few subprocesses. We give an example of individual lottery selection from three lotteries to illustrate the model. Finally, we propose ways to select from more than three lotteries.

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Publication Details

Journal
International Journal of Quantum Information
Published
2024-10-25
DOI
https://doi.org/10.1142/s0219749924500497
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantum-like model on multiple lotteries selection

Changchun Feng, Junhuan Zhang, Chen Lin, Jiaqi Wen
International Journal of Quantum Information
Spam and Phishing Detection
article

Quantum-like model on multiple lotteries selection

Changchun Feng, Junhuan Zhang, Chen Lin, Jiaqi Wen
article en

Abstract

This study proposes an agent-based quantum-like model to investigate the individual selection among three or more lotteries while incorporating the decision-making risk and uncertainty. We extend the classical expected utility functions with quantum probabilities and construct the compound belief state to compare one specific lottery belief state against others. The involved decision-making process is represented formally by the comparison operator, which can be decomposed into a few subprocesses. We give an example of individual lottery selection from three lotteries to illustrate the model. Finally, we propose ways to select from more than three lotteries.

International Journal of Quantum InformationVol. 23(02)
University of Technology Sydney (AU), Xi'an University of Finance and Economics (CN), Beihang University (CN)
Openalex Percentile: Top 71%
Spam and Phishing Detection
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