no code implementations • 6 Mar 2024 • Luka Baković, David Ohlin, Giacomo Como, Emma Tegling
Motivated by empirical research on bias and opinion formation, we formulate a multidimensional nonlinear opinion-dynamical model where agents have individual biases, which are fixed, as well as opinions, which evolve.
no code implementations • 18 Oct 2023 • Mahsa Ghavami, Babak Ghaffarzadeh Bakhshayesh, Mohammad Haeri, Giacomo Como, Hamed Kebriaei
In the upper layer, population coordinators collaborate for a distributed estimation of the coupling aggregate term in the agents' cost function and the associated Lagrange multiplier of the coupling constraint, transmitting the latest updated values to their population's agents.
no code implementations • 13 Jun 2023 • Martina Vanelli, Giacomo Como, Fabio Fagnani
We model a system of n asymmetric firms selling a homogeneous good in a common market through a pay-as-bid auction.
no code implementations • 4 Jul 2022 • Luca Ballotta, Giacomo Como, Jeff S. Shamma, Luca Schenato
We investigate a novel approach to resilient distributed optimization with quadratic costs in a multi-agent system prone to unexpected events that make some agents misbehave.
no code implementations • 15 Jun 2022 • Leonardo Massai, Giacomo Como, Fabio Fagnani
We study an energy market composed of producers who compete to supply energy to different markets and want to maximize their profits.
no code implementations • 26 Mar 2022 • Luca Ballotta, Giacomo Como, Jeff S. Shamma, Luca Schenato
This paper proposes a novel approach to resilient distributed optimization with quadratic costs in a networked control system (e. g., wireless sensor network, power grid, robotic team) prone to external attacks (e. g., hacking, power outage) that cause agents to misbehave.
no code implementations • 16 Jun 2020 • Amani Jaafer, Gustav Nilsson, Giacomo Como
Over the past years, interest in classifying drivers' behavior from data has surged.