Machine Learning Perspectives of Agent-Based Models

Language: English

Published by Springer, Berlin, Springer Nature Switzerland, Springer, 2025

3031733533 / 9783031733536

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -This bookprovides 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 the emerging properties ofheterogeneous agents that cannot be deduced from the characteristics of individual agents. 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.Containing numerous practical examples and applications with R, Python, Julia and Netlogo, the bookexplores how learning, particularly machine learning, can be integrated into multi-agent systems to enhance the adaptation and behavior of agents in dynamic environments. It compares different learning approaches, including game theory and artificial intelligence, highlighting the advantages of each in modeling economic phenomena. 377 pp. Englisch.

Seller Inventory # 9783031733536

Title
Machine Learning Perspectives of Agent-Based Models
Author
Pedro Campos
Publisher
Springer, Berlin, Springer Nature Switzerland, Springer
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031733533
ISBN 13
9783031733536
Dimensions
235x155x35 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
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BuchWeltWeit Ludwig Meier e.K.

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