EconPapers    
Economics at your fingertips  
 

Targeting in quantum persuasion problem

Vladimir Danilov () and Ariane Lambert-Mogiliansky

Journal of Mathematical Economics, 2018, vol. 78, issue C, 142-149

Abstract: In this paper we investigate the potential for persuasion arising from the quantum indeterminacy of a decision-maker’s beliefs, a feature that has been proposed as a formal expression of well-known cognitive limitations. We focus on a situation where an agent called Sender only has few opportunities to influence the decision-maker called Receiver. We do not address the full persuasion problem but restrict attention to a simpler one that we call targeting, i.e. inducing a specific belief state. The analysis is developed within the frame of a n-dimensional Hilbert space model. We find that when the prior is known, Sender can induce a targeted belief with a probability of at least 1∕n when using two sequential measurements. This figure climbs to 1/2 when both the target and the belief are known pure states. A main insight from the analysis is that a well-designed strategy of distraction can be used as a first step to confuse Receiver. We thus find that distraction rather than the provision of relevant arguments is an effective means to achieve persuasion. We provide an example from political decision-making.

Keywords: Persuasion; Belief; Updating; Quantum-like; Subjective representation (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304406818300466
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Targeting in quantum persuasion problem (2018)
Working Paper: Targeting in quantum persuasion problem (2018)
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:mateco:v:78:y:2018:i:c:p:142-149

DOI: 10.1016/j.jmateco.2018.04.005

Access Statistics for this article

Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii

More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:mateco:v:78:y:2018:i:c:p:142-149