Machine-Learning Perspectives of Agent-Based Models

Name: Machine-Learning Perspectives of Agent-Based Models
Brand: Springer, Berlin
SKU: 9783031733536
Price: 3198 CZK
Availability: InStock

Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia

Autor: Pedro Campos, Anand Rao, Margarido Joaquim

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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3 198 Kč

This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasiz...

Informace o knize

Autor

Pedro Campos, Anand Rao, Margarido Joaquim

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2025

Stránek

400

EAN

9783031733536

Enbook ID

46582688

Vydavatel

Springer, Berlin

Hmotnost

734

Rozměry

155 x 235

Kompletní popis

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 machine learning algorithms that allow agents to learn. ABM is highlighted as a powerful tool for studying economics, especially in the context of financial crises and pandemics, where traditional models, such as dynamic stochastic general equilibrium (DSGE) models, have proven inadequate.

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Machine-Learning Perspectives of Agent-Based Models

Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia

Informace o knize

Kompletní popis

Mohlo by vás zajímat