Modelling Learning Economics by Brenner Thomas (33 results)
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gebundene Ausgabe. Condition: Gut. 321 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 650.
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- Hardcover
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Hardback. Condition: New. Modelling Learning in Economics provides a comprehensive study of how learning processes can be modelled in an economic context.This innovative book investigates the processes involved in economic learning by categorizing different ways of learning, and using mathematical models for their description. T…he author distinguishes three types of learning processes - non-cognitive, routine-based and associative learning - and, for each of these, a model is proposed. Thomas Brenner also provides an overview of the psychological literature on learning and on the learning models most frequently used in economics. He then goes on to present applications of these models of learning to various economic topics including evolutionary game theory, consumption behaviour, investment behaviour of savers and the diffusion of innovation. In applying the models to economic topics, the author not only presents new insights into learning but also contributes to many topics within economic research.This book will be of interest to economic psychologists and economists working in the areas of game theory, consumer and investment behaviour and the diffusion of innovation.
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- Softcover
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- Softcover
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- Softcover
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- Hardcover
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- Softcover
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- Hardcover
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Taschenbuch. Condition: Neu. Computational Techniques for Modelling Learning in Economics | Thomas Brenner | Taschenbuch | xiii | Englisch | 2012 | Springer | EAN 9781461372851 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: prei…gu.
- Softcover
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- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on a different… way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in the field of modelling learning in computation economics. In addition, the material contains state-of-the-art applications of the learning models in economic contexts such as the learning of preference, the study of bidding behaviour, the development of expectations, the analysis of economic growth, the learning in the repeated prisoner's dilemma, and the changes of cognitive models during economic transition. The work even includes innovative ways of modelling learning that are not common in the literature, for example the study of the decomposition of task or the modelling of cognitive learning.
- Hardcover
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Condition: New. A collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models, and cognitive learn…ing models. Editor(s): Brenner, Thomas. Series: Advances in Computational Economics. Num Pages: 391 pages, biography. BIC Classification: KC; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 23. Weight in Grams: 1650. . 1999. Hardback. . . . .
- Softcover
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- Hardcover
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- Hardcover
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Hardback. Condition: New. Modelling Learning in Economics provides a comprehensive study of how learning processes can be modelled in an economic context.This innovative book investigates the processes involved in economic learning by categorizing different ways of learning, and using mathematical models for their description. T…he author distinguishes three types of learning processes - non-cognitive, routine-based and associative learning - and, for each of these, a model is proposed. Thomas Brenner also provides an overview of the psychological literature on learning and on the learning models most frequently used in economics. He then goes on to present applications of these models of learning to various economic topics including evolutionary game theory, consumption behaviour, investment behaviour of savers and the diffusion of innovation. In applying the models to economic topics, the author not only presents new insights into learning but also contributes to many topics within economic research.This book will be of interest to economic psychologists and economists working in the areas of game theory, consumer and investment behaviour and the diffusion of innovation.
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: New. A collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models, and cognitive learn…ing models. Editor(s): Brenner, Thomas. Series: Advances in Computational Economics. Num Pages: 391 pages, biography. BIC Classification: KC; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 23. Weight in Grams: 1650. . 1999. Hardback. . . . . Books ship from the US and Ireland.
- Hardcover
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- Hardcover
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- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each…of which focuses on a diffe.
- Hardcover
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of pap…ers, each of which focuses on a diffe.
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuse…s on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in the field of modelling learning in computation economics. In addition, the material contains state-of-the-art applications of the learning models in economic contexts such as the learning of preference, the study of bidding behaviour, the development of expectations, the analysis of economic growth, the learning in the repeated prisoner's dilemma, and the changes of cognitive models during economic transition. The work even includes innovative ways of modelling learning that are not common in the literature, for example the study of the decomposition of task or the modelling of cognitive learning. 408 pp. Englisch.
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on… a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in the field of modelling learning in computation economics. In addition, the material contains state-of-the-art applications of the learning models in economic contexts such as the learning of preference, the study of bidding behaviour, the development of expectations, the analysis of economic growth, the learning in the repeated prisoner's dilemma, and the changes of cognitive models during economic transition. The work even includes innovative ways of modelling learning that are not common in the literature, for example the study of the decomposition of task or the modelling of cognitive learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 408 pp. Englisch.
- Softcover
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Condition: New. Print on Demand pp. 408 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
