Results 31 to 40 of about 942,691 (276)

Regret-minimizing Bayesian persuasion [PDF]

open access: yesGames and Economic Behavior, 2021
We study a Bayesian persuasion setting with binary actions (adopt and reject) for Receiver. We examine the following question - how well can Sender perform, in terms of persuading Receiver to adopt, when ignorant of Receiver's utility? We take a robust (adversarial) approach to study this problem; that is, our goal is to design signaling schemes for ...
Yakov Babichenko   +3 more
openaire   +4 more sources

Algorithmic Bayesian Persuasion [PDF]

open access: yesSIAM Journal on Computing, 2016
Persuasion, defined as the act of exploiting an informational advantage in order to effect the decisions of others, is ubiquitous. Indeed, persuasive communication has been estimated to account for almost a third of all economic activity in the US. This paper examines persuasion through a computational lens, focusing on what is perhaps the most basic ...
Shaddin Dughmi, Haifeng Xu
openaire   +5 more sources

Bayesian Persuasion with Mediators

open access: yesCoRR, 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
openaire   +2 more sources

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.
Cheng Peng, Masayoshi Tomizuka
openaire   +4 more sources

Multi-Channel Bayesian Persuasion [PDF]

open access: yes, 2022
The celebrated Bayesian persuasion model considers strategic communication between an informed agent (the sender) and uninformed decision makers (the receivers).
Xu, Haifeng   +3 more
core   +1 more source

Multi-Channel Bayesian Persuasion

open access: yesCoRR, 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.
Babichenko, Yakov   +3 more
openaire   +4 more sources

Efficient utility-based clustering over high dimensional partition spaces [PDF]

open access: yes, 2009
Because of the huge number of partitions of even a moderately sized dataset, even when Bayes factors have a closed form, in model-based clustering a comprehensive search for the highest scoring (MAP) partition is usually impossible.
Smith, JQ   +9 more
core   +1 more source

Detection in Human-Sensor Systems Under Quantum Prospect Theory Using Bayesian Persuasion Frameworks [PDF]

open access: yesSymposium on Software Performance, 2023
Human-sensor systems have a wide range of applications in fields such as robotics, healthcare, and finance. These systems utilize sensors to observe the true state of nature and generate strategically designed signals, aiding humans in making more ...
Yinan Hu, Quan-Yan Zhu
semanticscholar   +1 more source

Rationality-Robust Information Design: Bayesian Persuasion under Quantal Response [PDF]

open access: yesACM-SIAM Symposium on Discrete Algorithms, 2022
Classic mechanism/information design imposes the assumption that agents are fully rational, meaning each of them always selects the action that maximizes her expected utility.
Yiding Feng, Chien-Ju Ho, Wei Tang
semanticscholar   +1 more source

Bayesian Approximations to Hidden Semi-Markov Models for Telemetric Monitoring of Physical Activity [PDF]

open access: yes, 2022
We propose a Bayesian hidden Markov model for analyzing time series and sequential data where a special structure of the transition probability matrix is embedded to model explicit-duration semi-Markovian dynamics.
Fiecas, Mark   +2 more
core   +1 more source

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