Learning in Economics: Analysis and Application of Genetic Algorithms
The book is dedicated to the use of genetic algorithms in theoretical economic research. Genetic algorithms offer the chance of overcoming the limitations traditional mathematical tractability puts on economic research and thus open new horzions for economic theory. The book reveals close relationsh...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2001
|
| Ausgabe: | 1st ed. 2001 |
| Schriftenreihe: | Contributions to Economics
|
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | The book is dedicated to the use of genetic algorithms in theoretical economic research. Genetic algorithms offer the chance of overcoming the limitations traditional mathematical tractability puts on economic research and thus open new horzions for economic theory. The book reveals close relationships between the theory of economic learning via genetic algorithms, dynamic game theory, and evolutionary economics. Genetic algorithms are here introduced as metaphors for processes of social and individual learning in economics. The book gives a simple description of the basic structures of economic genetic algorithms, followed by an in-depth analysis of their working principles. Several well-known economic models are reconstructed to incorporate genetic algorithms. Genetic algorithms thus help to find genuinely new results of well-known economic problems |
| Beschreibung: | 1 Online-Ressource (XVI, 180 p) |
| ISBN: | 9783642576126 |
| DOI: | 10.1007/978-3-642-57612-6 |
Internformat
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| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-642-57612-6 |
| edition | 1st ed. 2001 |
| format | Electronic eBook |
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| id | DE-604.BV046872144 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:15:37Z |
| indexdate | 2024-07-10T08:56:09Z |
| institution | BVB |
| isbn | 9783642576126 |
| language | English |
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| series2 | Contributions to Economics |
| spelling | Riechmann, Thomas Verfasser aut Learning in Economics Analysis and Application of Genetic Algorithms by Thomas Riechmann 1st ed. 2001 Heidelberg Physica-Verlag HD 2001 1 Online-Ressource (XVI, 180 p) txt rdacontent c rdamedia cr rdacarrier Contributions to Economics The book is dedicated to the use of genetic algorithms in theoretical economic research. Genetic algorithms offer the chance of overcoming the limitations traditional mathematical tractability puts on economic research and thus open new horzions for economic theory. The book reveals close relationships between the theory of economic learning via genetic algorithms, dynamic game theory, and evolutionary economics. Genetic algorithms are here introduced as metaphors for processes of social and individual learning in economics. The book gives a simple description of the basic structures of economic genetic algorithms, followed by an in-depth analysis of their working principles. Several well-known economic models are reconstructed to incorporate genetic algorithms. Genetic algorithms thus help to find genuinely new results of well-known economic problems Econometrics Economic Theory/Quantitative Economics/Mathematical Methods Economic theory Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Wirtschaftstheorie (DE-588)4079351-5 gnd rswk-swf Wirtschaftstheorie (DE-588)4079351-5 s Genetischer Algorithmus (DE-588)4265092-6 s DE-604 Erscheint auch als Druck-Ausgabe 9783790813845 Erscheint auch als Druck-Ausgabe 9783642576133 https://doi.org/10.1007/978-3-642-57612-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Riechmann, Thomas Learning in Economics Analysis and Application of Genetic Algorithms Econometrics Economic Theory/Quantitative Economics/Mathematical Methods Economic theory Genetischer Algorithmus (DE-588)4265092-6 gnd Wirtschaftstheorie (DE-588)4079351-5 gnd |
| subject_GND | (DE-588)4265092-6 (DE-588)4079351-5 |
| title | Learning in Economics Analysis and Application of Genetic Algorithms |
| title_auth | Learning in Economics Analysis and Application of Genetic Algorithms |
| title_exact_search | Learning in Economics Analysis and Application of Genetic Algorithms |
| title_exact_search_txtP | Learning in Economics Analysis and Application of Genetic Algorithms |
| title_full | Learning in Economics Analysis and Application of Genetic Algorithms by Thomas Riechmann |
| title_fullStr | Learning in Economics Analysis and Application of Genetic Algorithms by Thomas Riechmann |
| title_full_unstemmed | Learning in Economics Analysis and Application of Genetic Algorithms by Thomas Riechmann |
| title_short | Learning in Economics |
| title_sort | learning in economics analysis and application of genetic algorithms |
| title_sub | Analysis and Application of Genetic Algorithms |
| topic | Econometrics Economic Theory/Quantitative Economics/Mathematical Methods Economic theory Genetischer Algorithmus (DE-588)4265092-6 gnd Wirtschaftstheorie (DE-588)4079351-5 gnd |
| topic_facet | Econometrics Economic Theory/Quantitative Economics/Mathematical Methods Economic theory Genetischer Algorithmus Wirtschaftstheorie |
| url | https://doi.org/10.1007/978-3-642-57612-6 |
| work_keys_str_mv | AT riechmannthomas learningineconomicsanalysisandapplicationofgeneticalgorithms |