학술논문
Personalized Feedback Control, Social Contracts, and Compliance Strategies for Ensembles
Document Type
Periodical
Author
Source
IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. 11(3):3942-3955 Feb, 2024
Subject
Language
ISSN
2327-4662
2372-2541
2372-2541
Abstract
This article describes the use of acrlong DLTs as a means to create personalized social nudges and to influence the behavior of agents in a smart city environment. Specifically, we present a scheme to price personalized risk in sharing economy applications. We provide proofs for the convergence of the proposed stochastic system and we validate our approach through the use of extensive Monte Carlo simulations.