Machine learning perspectives agent based (15 risultati)

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Machine Learning Perspectives of Agent-based Models : With Practical Applications to Economic Crises and Pandemics With Python, R, Netlogo and Julia
Campos, Pedro (EDT); Rao, Anand (EDT); Joaquim, Margarido (EDT)
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Machine Learning Perspectives of Agent-based Models : With Practical Applications to Economic Crises and Pandemics With Python, R, Netlogo and Julia
Campos, Pedro (EDT); Rao, Anand (EDT); Joaquim, Margarido (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Machine Learning Perspectives of Agent-based Models : With Practical Applications to Economic Crises and Pandemics With Python, R, Netlogo and Julia
Campos, Pedro (EDT); Rao, Anand (EDT); Joaquim, Margarido (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Machine Learning Perspectives of Agent-based Models : With Practical Applications to Economic Crises and Pandemics With Python, R, Netlogo and Julia
Campos, Pedro (EDT); Rao, Anand (EDT); Joaquim, Margarido (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This bookprovides 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 ofheterogeneous agents that cannot be ded…uced from the characteristics of individual agents. 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.Containing numerous practical examples and applications with R, Python, Julia and Netlogo, the bookexplores how learning, particularly machine learning, can be integrated into multi-agent systems to enhance the adaptation and behavior of agents in dynamic environments. It compares different learning approaches, including game theory and artificial intelligence, highlighting the advantages of each in modeling economic phenomena.

Machine Learning Perspectives of Agent-based Models: With Practical Applications to Economic Crises and Pandemics With Python, R, Netlogo and Julia
Campos, Pedro (Editor)/ Rao, Anand (Editor)/ Joaquim, Margarido (Editor)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Lingua: Inglese
Editore: Springer, Berlin, Springer Nature Switzerland, Springer, 2025
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This bookprovides 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 ofheterogeneous agents th…at cannot be deduced from the characteristics of individual agents. 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.Containing numerous practical examples and applications with R, Python, Julia and Netlogo, the bookexplores how learning, particularly machine learning, can be integrated into multi-agent systems to enhance the adaptation and behavior of agents in dynamic environments. It compares different learning approaches, including game theory and artificial intelligence, highlighting the advantages of each in modeling economic phenomena. 377 pp. Englisch.

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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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Hardcover. Condizione: new. Hardcover. 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 in…dividual agents. 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.Containing numerous practical examples and applications with R, Python, Julia and Netlogo, the book explores how learning, particularly machine learning, can be integrated into multi-agent systems to enhance the adaptation and behavior of agents in dynamic environments. It compares different learning approaches, including game theory and artificial intelligence, highlighting the advantages of each in modeling economic phenomena. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Agent-Based Models and the Economics of Crisis.- The Machine Learning perspective.- Setting up Agent-Based Models of Crisis (Microeconomic Model of Crisis; Virus on a Network Spread Model).- Developing models with Python and R.Springer-Verlag… KG, Sachsenplatz 4-6, 1201 Wien 400 pp. Englisch.

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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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