Personalised Feedback Control, Social Contracts, and Compliance Strategies for Ensembles

TL;DR

This paper explores using Distributed Ledger Technologies to enforce social contracts and manage agent behavior in smart cities, focusing on personalized risk pricing in sharing economy applications with proven convergence and simulation validation.

Contribution

It introduces a novel scheme for personalized risk pricing in sharing economy applications using DLTs, with theoretical convergence proofs and extensive simulation validation.

Findings

Proven convergence of the stochastic system.

Effective personalized risk pricing scheme.

Validated approach through Monte Carlo simulations.

Abstract

This paper describes the use of Distributed Ledger Technologies as a mean to enforce social contracts and to orchestrate the behaviour of agents in a smart city environment. Specifically, we present a scheme to price personalised 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.