Adaptive Learning by Genetic Algorithms : Analytical Results and Applications to Economic Models /
This book deals with the learning behavior of boundedly rational agents in economic systems. In particular, the modeling of learning populations by genetic algorithms is studied in detail. After an extensive review and discussion of the existing literature in the first part, a mathematical analysis...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
1999.
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| Edition: | Second, rev. and enlarged edition. |
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| Online Access: | Connect to the full text of this electronic book |
Table of 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
- Basic Definitions and Results Used
- Calculation of the Equilibria of the Evolutionary Games in Chapter 5
- Proof of Proposition 6.3.1. The complete table of contents can be found on the Internet: http://www.springer.de.