no code implementations • 7 Dec 2022 • Marco Pangallo, Alberto Aleta, R. Maria del Rio Chanona, Anton Pichler, David Martín-Corral, Matteo Chinazzi, François Lafond, Marco Ajelli, Esteban Moro, Yamir Moreno, Alessandro Vespignani, J. Doyne Farmer
The potential tradeoff between health outcomes and economic impact has been a major challenge in the policy making process during the COVID-19 pandemic.
no code implementations • 10 May 2022 • Corrado Monti, Marco Pangallo, Gianmarco De Francisci Morales, Francesco Bonchi
In this paper, we propose a protocol to learn the latent micro-variables of an ABM from data.
no code implementations • 18 Feb 2021 • Anton Pichler, Marco Pangallo, R. Maria del Rio-Chanona, François Lafond, J. Doyne Farmer
Looking back at predictions that we released in May, we show that the model predicted aggregate dynamics very well, and sectoral dynamics to a large extent.
no code implementations • 11 Jan 2021 • Torsten Heinrich, Yoojin Jang, Luca Mungo, Marco Pangallo, Alex Scott, Bassel Tarbush, Samuel Wiese
By contrast, when the playing sequence is random, the dynamic converges to a pure Nash equilibrium if one exists in almost all (large) games.
no code implementations • 16 Feb 2020 • Marco Pangallo
These models generate stronger comovement, because they combine shock propagation with synchronization of endogenous dynamics.
no code implementations • 31 Jan 2017 • Marco Pangallo, James Sanders, Tobias Galla, Doyne Farmer
Do boundedly rational players learn to choose equilibrium strategies as they play a game repeatedly?