Machine learning perspectives of agent-based models: practical applications to economic crises and pandemics with python, r, netlogo and julia
Éditeur :
Springer International Publishing AG
ISBN :
9783031733536
Date de publication :
19 août 2025
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
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.