5 papers
A Note on Reinforcement Learning to Develop Self-defined Agents' Behavior
Matteo Morini, Pietro Terna
The key point in this note is the self-development of simple behavior strategies, consistently with the bounded rationality hypothesis. Our artificial agents adopt learning techniq…
How many outbreaks before an epidemic?
Fabio Rapallo, Enrico Scalas, Pietro Terna
In this work, we study the finite-population behaviour of the Reed-Frost epidemic model. Our analysis relies on the exact expression for the final epidemic size, replaced by Monte…
Breaking open the black box of the production function: an agent-based model accounting for time in production processes
Jack Birner, Marco Mazzoli, Eleonora Priori +1
Traditional notions of production function do not consider the time dimension, appearing thus timeless and instantaneous. We propose an agent-based model accounting for the whole p…
An Agent-Based Model of COVID-19 Diffusion to Plan and Evaluate Intervention Policies
Gianpiero Pescarmona, Pietro Terna, Alberto Acquadro +4
A model of interacting agents, following plausible behavioral rules into a world where the Covid-19 epidemic is affecting the actions of everyone. The model works with (i) infected…
Active particles methods towards modeling in science and society
Nicola Bellomo, Diletta Burini, Giovanni Dosi +5
This paper is a first step to chase the ambitious objective of developing a mathmatical theory of living systems. The contents refer modeling large systems of interacting living en…