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Machine Learning Perspectives of Agent-Based Models: Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia
Machine Learning Perspectives of Agent-Based Models: Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia
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Format: Hardback
Length: 377 pages
Publication date: 19 August 2025
Publisher: Springer International Publishing AG
mso-fareast-language: EN-US;">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.
Dimension: 235 x 155 (mm)
ISBN-13: 9783031733536
Edition number: 2025 ed.
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