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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
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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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 19 de agosto de 2025 |
| ISBN13 | 9783031733536 |
| Editores | Springer International Publishing AG |
| Páginas | 377 |
| Dimensiones | 162 × 244 × 28 mm · 714 g |
| Lengua | Alemán |
| Editor | Campos, Pedro |
| Editor | Margarido, Joaquim |
| Editor | Rao, Anand |
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