In this section
@article{Ferraro:2024:10.1109/jiot.2023.3298516,
author = {Ferraro, P and Zhao, L and King, C and Shorten, R},
doi = {10.1109/jiot.2023.3298516},
journal = {IEEE Internet of Things Journal},
pages = {3942--3955},
title = {Personalized feedback control, social contracts, and compliance strategies for ensembles},
url = {http://dx.doi.org/10.1109/jiot.2023.3298516},
volume = {11},
year = {2024}
}
TY - JOUR
AB - 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.
AU - Ferraro,P
AU - Zhao,L
AU - King,C
AU - Shorten,R
DO - 10.1109/jiot.2023.3298516
EP - 3955
PY - 2024///
SN - 2327-4662
SP - 3942
TI - Personalized feedback control, social contracts, and compliance strategies for ensembles
T2 - IEEE Internet of Things Journal
UR - http://dx.doi.org/10.1109/jiot.2023.3298516
UR - http://hdl.handle.net/10044/1/110523
VL - 11
ER -
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