Targeting in Quantum Persuasion Problems
Vladimir I. Danilov, Ariane Lambert-Mogiliansky

TL;DR
This paper explores how quantum indeterminacy can be exploited to influence beliefs in decision-making, revealing that distraction strategies can be more effective than argumentation in persuasion.
Contribution
It introduces a quantum Hilbert space model for targeting belief states and demonstrates how distraction can effectively persuade by manipulating quantum belief states.
Findings
Probability of inducing targeted belief is at least 1/n with two measurements.
Probability increases to 1/2 when both target and belief are pure states.
Distraction strategies can outperform relevant arguments in persuasion.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Game Theory and Applications
