Machine-learning Perspectives of Agent-based Models : Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia
2025 ed.
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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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