Machine Learning Perspectives of Agent-Based Models

[bookbestseller]

Machine Learning Perspectives of Agent-Based Models

Machine Learning Perspectives of Agent-Based Models:
Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia

English | 2025 | ISBN: 3031733533 | 397 Pages | PDF EPUB (True) | 40 MB
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 the emerging properties of heterogeneous 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.

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