Search Results for author: Marco Pangallo

Found 6 papers, 0 papers with code

On learning agent-based models from data

no code implementations10 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.

In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model

no code implementations18 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.

Best-response dynamics, playing sequences, and convergence to equilibrium in random games

no code implementations11 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.

Synchronization of endogenous business cycles

no code implementations16 Feb 2020 Marco Pangallo

These models generate stronger comovement, because they combine shock propagation with synchronization of endogenous dynamics.

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Towards a taxonomy of learning dynamics in 2 x 2 games

no code implementations31 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?

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