Povej prijatelju o tem izdelku:
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.
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 19. avgusta 2025 |
| ISBN13 | 9783031733536 |
| Založniki | Springer International Publishing AG |
| Strani | 377 |
| Dimenzije | 150 × 220 × 20 mm · 734 g |
| Jezik | Nemščina |
| Urednik | Campos, Pedro |
| Urednik | Margarido, Joaquim |
| Urednik | Rao, Anand |