Adaptive Learning by Genetic Algorithms
Analytical Results and Applications to Economical Models
Seiten
1996
Springer Berlin (Hersteller)
9783540615132 (ISBN)
Springer Berlin (Hersteller)
9783540615132 (ISBN)
Lese- und Medienproben
- Titel erscheint in neuer Auflage
- Artikel merken
Zu diesem Artikel existiert eine Nachauflage
This work considers the learning behaviour of genetic algorithms in economic systems with mutual interaction, such as markets. It offers insights into the impact of the use of different genetic operators, coding mechanisms and parameter constellations.
This work considers the learning behaviour of genetic algorithms in economic systems with mutual interaction, like markets. Such systems are characterized by a state dependent fitness function. The book offers insights into the impact of the use of different genetic operators, coding mechanisms and parameter constellations. It provides a large number of simulations in evolutionary games and economic models.
This work considers the learning behaviour of genetic algorithms in economic systems with mutual interaction, like markets. Such systems are characterized by a state dependent fitness function. The book offers insights into the impact of the use of different genetic operators, coding mechanisms and parameter constellations. It provides a large number of simulations in evolutionary games and economic models.
Contents: Introduction.- Bounded Rationality and Artificial Intelligence.- Genetic Algorithms.- Genetic Algorithms with a State Dependent Fitness Function.- Genetic Learning in Evolutionary Games.- Simulations with Genetic Algorithms in Economic Systems.- Stability and Encoding.- Conclusions.
| Verlagsort | Berlin |
|---|---|
| Sprache | englisch |
| Gewicht | 280 g |
| Einbandart | Paperback |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Allgemeines / Lexika |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Wirtschaft ► Allgemeines / Lexika | |
| Wirtschaft ► Volkswirtschaftslehre | |
| ISBN-13 | 9783540615132 / 9783540615132 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
