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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.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2025. gada 19. augusts |
| ISBN13 | 9783031733536 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 377 |
| Izmēri | 150 × 220 × 20 mm · 734 g |
| Valoda | Vācu |
| Redaktors | Campos, Pedro |
| Redaktors | Margarido, Joaquim |
| Redaktors | Rao, Anand |
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