Gallegati, Mauro
Libros de: Gallegati, Mauro
Mostrando 4 libros encontrados. (1 páginas).
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Complex Agent-Based Models
Gallegati, Mauro
Springer (2018)
- EAN: 9783319938578
- Páginas: 80
- Fecha de edición: 2018
pvp.99,00 €
Sin Stock. Posibilidad entre 11 y 20 dias
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 ...
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Agent-Based Models in Economics "A Toolkit"
Delli Gatti, Domenico Fagiolo, Giorgio Gallegati, Mauro Richiardi, Matteo Russo, Alberto
Cambridge University Press (2018)
- EAN: 9781108400046
- Páginas: 260
- Fecha de edición: 2018
pvp.28,57 €
Sin Stock. Posibilidad entre 11 y 20 dias
In contrast to mainstream economics, complexity theory conceives the economy as a complex system of heterogeneous interacting agents characterised by limited information and bounded rationality. Agent Based Models (ABMs) are the analytical and computational tools ...
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Introduction to Agent-Based Economics
Gallegati, Mauro Plaestrini, Antonio Russo, Alberto
Academic Press Inc. (2017)
- EAN: 9780128038345
- Páginas: 250
- Fecha de edición: 2017
pvp.99,95 €
Sin Stock. Posibilidad entre 11 y 20 dias
Introduction to Agent-Based Economics describes the principal elements of agent-based computational economics (ACE). It illustrates ACEs theoretical foundations, which are rooted in the application of the concept of complexity to the social sciences, and it ...
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The Distribution of Income and Wealth "Parametric Modeling with the Kappa-Generalized Family"
Clementi, Fabio Gallegati, Mauro
Springer Verlag (2016)
- EAN: 9783319274089
- Páginas: 177
- Fecha de edición: 2016
pvp.91,50 €
Sin Stock. Posibilidad entre 11 y 20 dias
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 ...