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Machine Learning Perspectives of Agent-Based Models: Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia 2025 edition
Machine Learning Perspectives of Agent-Based Models: Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia
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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | August 19, 2025 |
| ISBN13 | 9783031733536 |
| Publishers | Springer International Publishing AG |
| Pages | 377 |
| Dimensions | 150 × 220 × 20 mm · 734 g |
| Language | German |
| Editor | Campos, Pedro |
| Editor | Margarido, Joaquim |
| Editor | Rao, Anand |