Results 11 to 20 of about 12,634 (289)

Who is Afraid of Bayesian Persuasion? [PDF]

open access: greenSSRN Electronic Journal, 2018
Bayesian persuasion (Kamenica and Gentzkow 2011) refers to the optimal signalling of a Sender with informational advantage over the Receiver, under the constraint that the expected posterior (over the state space) equals the common prior. In the basic example of a judicial system with a prosecutor (Sender) and a judge (Receiver) who needs to convict or
Luc Lauwers, Patrick J. G. Van Cayseele
openalex   +5 more sources

Multi-Channel Bayesian Persuasion

open access: green, 2021
The celebrated Bayesian persuasion model considers strategic communication between an informed agent (the sender) and uninformed decision makers (the receivers). The current rapidly-growing literature mostly assumes a dichotomy: either the sender is powerful enough to communicate separately with each receiver (a.k.a.
Yakov Babichenko   +3 more
openalex   +6 more sources

Verbalized Bayesian Persuasion [PDF]

open access: green
Information design (ID) explores how a sender influence the optimal behavior of receivers to achieve specific objectives. While ID originates from everyday human communication, existing game-theoretic and machine learning methods often model information structures as numbers, which limits many applications to toy games.
Wenhao Li   +5 more
openalex   +3 more sources

Bayesian Persuasion in Sequential Decision-Making

open access: goldProceedings of the AAAI Conference on Artificial Intelligence, 2022
We study a dynamic model of Bayesian persuasion in sequential decision-making settings. An informed principal observes an external parameter of the world and advises an uninformed agent about actions to take over time. The agent takes actions in each time step based on the current state, the principal's advice/signal, and beliefs about the external ...
Jiarui Gan   +3 more
openalex   +5 more sources

Bayesian Persuasion with Mediators

open access: green, 2022
An informed sender communicates with an uninformed receiver through a sequence of uninformed mediators; agents' utilities depend on receiver's action and the state. For any number of mediators, the sender's optimal value is characterized. For one mediator, the characterization has a geometric meaning of constrained concavification of sender's utility ...
Itai Arieli   +2 more
openalex   +4 more sources

Differentially Private Bayesian Persuasion [PDF]

open access: greenProceedings of the ACM on Web Conference 2025
The tension between persuasion and privacy preservation is common in real-world settings. Online platforms should protect the privacy of web users whose data they collect, even as they seek to disclose information about these data to selling advertising spaces.
Yuqi Pan   +3 more
openalex   +3 more sources

PENDEKATAN REGRESI LOGISTIK BAYES PADA PEMODELAN PERILAKU IBU TERHADAP KEBERSIHAN MULUT ANAK BALITA

open access: yesE-Jurnal Matematika, 2022
Human behavior is a set of behaviors that humans have that are influenced by customs, value, ethics, attitudes, emotion, power, persuasion, and/or genetics. Oral hygiene is a form of dental hygiene. Toddler often suffer from oral and dental problems such
KASTIN DWILEN PONG SUMAE   +2 more
doaj   +1 more source

Opinion dynamics with confirmation bias. [PDF]

open access: yesPLoS ONE, 2014
Confirmation bias is the tendency to acquire or evaluate new information in a way that is consistent with one's preexisting beliefs. It is omnipresent in psychology, economics, and even scientific practices.
Armen E Allahverdyan, Aram Galstyan
doaj   +1 more source

Bayesian Persuasive Driving [PDF]

open access: yes2019 American Control Conference (ACC), 2019
In the autonomous driving area, interaction between vehicles is still a piece of puzzle which has not been fully resolved. The ability to intelligently and safely interact with other vehicles can not only improve self driving quality but also be beneficial to the global driving environment.
Masayoshi Tomizuka, Cheng Peng
openaire   +3 more sources

Bayesian Persuasion with Lie Detection [PDF]

open access: yesSSRN Electronic Journal, 2020
We consider a model of Bayesian persuasion in which the Receiver can detect lies with positive probability. We show that the Sender lies more when the lie detection probability increases. As long as the lie detection probability is sufficiently small the Sender's and the Receiver's equilibrium payoffs are unaffected by the lie detection technology ...
Weicheng Min   +2 more
openaire   +2 more sources

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