no code implementations • 11 Dec 2020 • Giulia De Pasquale, Yvonne R. Sturz, Maria Elena Valcher, Roy S. Smith
This paper proposes a novel method for distributed controller synthesis of homogeneous interconnected systems consisting of identical subsystems.
no code implementations • 8 Mar 2021 • Giulia De Pasquale, Maria Elena Valcher
In this paper, we address two forms of consensus for multi-agent systems with undirected, signed, weighted, and connected communication graphs, under the assumption that the agents can be partitioned into three clusters, representing the decision classes on a given specific topic, for instance, the in favour, abstained and opponent agents.
no code implementations • 13 Apr 2022 • Giulia De Pasquale, Maria Elena Valcher
Recently a model for the interplay between homophily-based appraisal dynamics and influence-based opinion dynamics has been proposed.
no code implementations • 18 Apr 2022 • Giulia De Pasquale, Maria Elena Valcher
In this paper, we investigate the herdability property, namely the capability of a system to be driven towards the (interior of the) positive orthant, for linear time-invariant state-space models.
no code implementations • 18 Apr 2022 • Giulia De Pasquale, Maria Elena Valcher
In this paper, we propose a mathematical model for a Transactive Memory System (TMS) involved in the cooperative process of learning a task.
no code implementations • 18 Apr 2022 • Giulia De Pasquale, Maria Elena Valcher
For this model, we provide an alternative proof for the contractivity of the range of opinions and show that the agents' opinions reach consensus/clustering if and only if their average opinions do so.
1 code implementation • 10 May 2023 • Nicolò Pagan, Joachim Baumann, Ezzat Elokda, Giulia De Pasquale, Saverio Bolognani, Anikó Hannák
By qualitative analysis, and through a simulation example of recommender systems, we show which specific types of ML biases are affected by each type of feedback loop.
no code implementations • 10 Mar 2024 • Ben Sprenger, Giulia De Pasquale, Raffaele Soloperto, John Lygeros, Florian Dörfler
A closed-loop control model to analyze the impact of recommendation systems on opinion dynamics within social networks is introduced.