Illustration

Biographie et livres de Mauro Gallegati

Découvrez tout l'univers de l'auteur en livre numérique
Mauro Gallegati is Professor of Economics at the Università Politecnica delle Marche, Ancona, and he has been a visiting professor in several Universities, including Stanford University, Massachusetts Institute of Technology and Columbia University. He has published journal papers in numerous subject areas including agent based economics, complexity, economic history, nonlinear mathematics, and econophysics, and he sits on the editorial board of several economic journals and book series.
Découvrez tous ses livres

Dernière parution

Téléchargez le livre : Complex Agent-Based Models
Ajouter à ma liste d'envies
Complex Agent-Based Models

Mauro Gallegati

Springer

2018-09-19

PDF, ePub

This book offers a thorough introduction to the highly promising complex agent-based approach to economics, in which agent-based models (ABMs) are used to represent economic systems as complex and evolving systems composed of heterogeneous agents of...

94,94 €

En savoir plus

Ebooks de Mauro Gallegati en PDF et EPUB

2 Livre(s)
Télécharger le livre : Economics with Heterogeneous Interacting Agents
Ajouter à ma liste d'envies
Economics with Heterogeneous Interacting Agents
Alessandro Caiani , Mauro Gallegati , Antonio Palestrini , Alberto Russo
This book offers a practical guide to Agent Based economic modeling, adopting a “learning by doing” approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic “toolkit” for Agent Based...

Editeur : Springer
Parution : 2016-09-21
Collection : New Economic Windows
PDF, ePub

116,04 €
Télécharger le livre : The Distribution of Income and Wealth
Ajouter à ma liste d'envies
The Distribution of Income and Wealth
Fabio Clementi , Mauro Gallegati
This book presents a systematic overview of cutting-edge research in the field of parametric modeling of personal income and wealth distribution, which allows one to represent how income/wealth is distributed within a given population. The estimated parameters may be...

Editeur : Springer
Parution : 2015-12-21
Collection : New Economic Windows
PDF, ePub

52,74 €