Applications in Agent-Based Economics (English Edition)
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Lieferung aus: Deutschland, Versandkostenfrei.
Applications in Agent-Based Economics: The aim of this thesis is to explore ways of modelling adaptive agents in Agent-based Computational Economics (ACE) models. A general reinforcement learning framework is developed and implemented in a simulation system. This system is used to implement three models of increasing complexity in two different economic domains. One of these domains form iterative games in which agents meet repeatedly and interact. In an experimental labour market, it is shown how statistical discrimination can be generated simply by the learning algorithm used. The results resemble actual patterns of observed human behaviour in laboratory settings. A second model treats strategic network formation. The main contribution in this area is to show how agent-based modelling helps to analyse non-linearity that is introduced when assumptions of perfect information and full rationality are relaxed. The other domain has a Health Economics background. The aim here is to provide insights of how the approach might be useful in real-world applications. For this, a general model of primary care is developed, and the implications of different consumer behaviour patterns (based on the learning features introduced before) analysed. Englisch, Ebook.

Lieferung aus: Deutschland, E-Book zum Download, Versandkostenfrei.
The aim of this thesis is to explore ways of modelling adaptive agents in Agent-based Computational Economics (ACE) models. A general reinforcement learning framework is developed and implemented in a simulation system. This system is used to implement three models of increasing complexity in two different economic domains. One of these domains form iterative games in which agents meet repeatedly and interact. In an experimental labour market, it is shown how statistical discrimination can be generated simply by the learning algorithm used. The results resemble actual patterns of observed human behaviour in laboratory settings. A second model treats strategic network formation. The main contribution in this area is to show how agent-based modelling helps to analyse non-linearity that is introduced when assumptions of perfect information and full rationality are relaxed. The other domain has a Health Economics background. The aim here is to provide insights of how the approach might be useful in real-world applications. For this, a general model of primary care is developed, and the implications of different consumer behaviour patterns (based on the learning features introduced before) analysed. Kindle Ausgabe, Ausgabe: 1, Format: Kindle eBook, Label: Books on Demand, Books on Demand, Produktgruppe: eBooks, Publiziert: 2017-08-21, Freigegeben: 2017-08-21, Studio: Books on Demand.

Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
The aim of this thesis is to explore ways of modelling adaptive agents in Agent-based Computational Economics (ACE) models. A general reinforcement learning framework is developed and implemented in a simulation system. This system is used to implement three models of increasing complexity in two different economic domains. One of these domains form iterative games in which agents meet repeatedly and interact. In an experimental labour market, it is shown how statistical discrimination can be The aim of this thesis is to explore ways of modelling adaptive agents in Agent-based Computational Economics (ACE) models. A general reinforcement learning framework is developed and implemented in a simulation system. This system is used to implement three models of increasing complexity in two different economic domains. One of these domains form iterative games in which agents meet repeatedly and interact. In an experimental labour market, it is shown how statistical discrimination can be generated simply by the learning algorithm used. The results resemble actual patterns of observed human behaviour in laboratory settings. A second model treats strategic network formation. The main contribution in this area is to show how agent-based modelling helps to analyse non-linearity that is introduced when assumptions of perfect information and full rationality are relaxed. The other domain has a Health Economics background. The aim here is to provide insights of how the approach might be useful in real-world applications. For this, a general model of primary care is developed, and the implications of different consumer behaviour patterns (based on the learning features introduced before) analysed. Lieferzeit 1-2 Werktage.

Lieferung aus: Deutschland, E-Book zum Download, Versandkostenfrei.
Von Händler/Antiquariat, Amazon Media EU S.à r.l.
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Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Applications in Agent-Based Economics ab 14.99 EURO 1. Auflage.

Applications in Agent-Based Economics ab 14.99 EURO 1. Auflage.