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Machine-Learning Perspectives of Agent-Based Models

Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia

Language EnglishEnglish
Book Hardback
Book Machine-Learning Perspectives of Agent-Based Models Pedro Campos
Libristo code: 46582688
Publishers Springer, Berlin, November 2024
This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasiz... Full description
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144.07 €
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This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on machine learning algorithms that allow agents to learn.  ABM is highlighted as a powerful tool for studying economics, especially in the context of financial crises and pandemics, where traditional models, such as dynamic stochastic general equilibrium (DSGE) models, have proven inadequate. 

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About the book

Full name Machine-Learning Perspectives of Agent-Based Models
Author Pedro Campos, Anand Rao, Margarido Joaquim
Language English
Binding Book - Hardback
Date of issue 2025
Number of pages 400
EAN 9783031733536
Libristo code 46582688
Publishers Springer, Berlin
Weight 734
Dimensions 155 x 235

Categories

Mathematics & Science > Mathematics > Probability & statistics
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