7 papers
Continuous-Time Distributed Learning for Collective Wisdom Maximization
Luka Baković, Giacomo Como, Fabio Fagnani +2
Motivated by the well established idea that collective wisdom is greater than that of an individual, we propose a novel learning dynamics as a sort of companion to the Abelson mode…
Behavioral-feedback SIR epidemic model: analysis and control
Martina Alutto, Leonardo Cianfanelli, Giacomo Como +2
This paper investigates a behavioral-feedback SIR model in which the infection rate adapts dynamically based on the fractions of susceptible and infected individuals. We introduce…
On Optimality of Private Information in Bayesian Routing Games
Alexia Ambrogio, Leonardo Cianfanelli, Giacomo Como
We study an information design problem in transportation networks, in the presence of a random state that affects the travel times on the links. An omniscient system planner -- aim…
Optimal interventions in opinion dynamics on large-scale, time-varying, random networks
Leonardo Cianfanelli, Giacomo Como, Fabio Fagnani +2
We consider two optimization problems in which a planner aims to influence the average transient opinion in the Friedkin-Johnsen dynamics on a network by intervening on the agents'…
Wisdom of Crowds Through Myopic Self-Confidence Adaptation
Giacomo Como, Fabio Fagnani, Anton Proskurnikov
The wisdom of crowds is an umbrella term for phenomena suggesting that the collective judgment or decision of a large group can be more accurate than the individual judgments or de…
How competitive are pay-as-bid auction games?
Martina Vanelli, Giacomo Como, Fabio Fagnani
We study the pay-as-bid auction game, a supply function model with discriminatory pricing and asymmetric firms. In this game, strategies are non-decreasing supply functions relatin…