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Machine-Learning Perspectives of Agent-Based Models
Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia
Language
English
English
Book
Hardback
This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasiz...
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Libristo code: 46582688
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348 b
348 b
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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
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
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