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Learning in Economics: Analysis and Application of Genetic Algorithms (Contributions to Economics) [Paperback]

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Item description for Learning in Economics: Analysis and Application of Genetic Algorithms (Contributions to Economics) by Thomas Riechmann...

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.



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Item Specifications...


Pages   179
Est. Packaging Dimensions:   Length: 9.2" Width: 6" Height: 0.5"
Weight:   0.6 lbs.
Binding  Softcover
Release Date   Apr 20, 2001
Publisher   Physica-Verlag Heidelberg
ISBN  3790813842  
ISBN13  9783790813845  


Availability  95 units.
Availability accurate as of Jan 19, 2017 01:15.
Usually ships within one to two business days from La Vergne, TN.
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Product Categories

1Books > Special Features > New & Used Textbooks > Business & Finance > Economics > History & Theory
2Books > Subjects > Business & Investing > Economics > General
3Books > Subjects > Business & Investing > Economics > Theory
4Books > Subjects > Business & Investing > General
5Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Game Theory
6Books > Subjects > Science > Mathematics > Applied > Game Theory



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