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e-Book Learning in Economics: Analysis and Application of Genetic Algorithms (Contributions to Economics) epub download

e-Book Learning in Economics: Analysis and Application of Genetic Algorithms (Contributions to Economics) epub download

Author: Thomas Riechmann
ISBN: 3790813842
Pages: 180 pages
Publisher: Physica; Softcover reprint of the original 1st ed. 2001 edition (April 20, 2001)
Language: English
Category: Mathematics
Size ePUB: 1116 kb
Size Fb2: 1689 kb
Size DJVU: 1919 kb
Rating: 4.1
Votes: 930
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Subcategory: Science

e-Book Learning in Economics: Analysis and Application of Genetic Algorithms (Contributions to Economics) epub download

by Thomas Riechmann



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.

Genetic algorithms are here introduced as metaphors for processes of social and individual learning in economics. 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. Show all. Table of contents (10 chapters). Pages 3-5. Riechmann, Thomas.

Part of the Contributions to Economics book series (CE). Economic Genetic Algorithms Economic Modeling Economic Theory Genetic Algorithms Genetische Algorithmen Learning in Economics Lernen in der Ökonomie Theory of Economic Learning Wirtschaftstheorie calculus game theory linear optimization ökonomische Modelle. Authors and affiliations.

Автор: Riechmann Thomas Название: Learning in Economics .

Genetic algorithms have increasingly been applied to economics since the pioneering work by John H. Miller in 1986. It has been used to characterize a variety of models including the cobweb model, the overlapping generations model, game theory, schedule optimization and asset pricing. Specifically, it has been used as a model to represent learning, rather than as a means for fitting a model.

Learning in Economics book. Goodreads helps you keep track of books you want to read. Start by marking Learning in Economics: Analysis and Application of Genetic Algorithms as Want to Read: Want to Read saving. It took me over five years to write this book. Start by marking Learning in Economics: Analysis and Application of Genetic Algorithms as Want to Read: Want to Read savin. ant to Read.

Learning in Economics: Analysis and Application of Genetic Algorithms. It might be supposed that this contribution would be crucial, but, at least until recently, that has not been so. View the ‘modern synthesis’ that emerged in the 1940s, but his role was to show that the facts of palaeontology were consistent with the mechanisms of natural selection and geographical speciation proposed by the neontologists (a term used by palaeontologists to describe the rest of us), rather than to propose novel mechanisms of his own.

Analysis and Application of Genetic Algorithms (Contributions to Economics). Published April 20, 2001 by Physica-Verlag Heidelberg.

6 3 GA Applications in Economics Within the field of Economics, GA applications are varied. Cambridge: MIT Press, Riechmann, Thomas. Learning in Economics: Analysis and Application of Genetic Algorithms. Heidelberg: Physica-Verlag, Similar documents. For example, one can use a GA to optimize an economic strategy (. finding the optimal quantity for a monopoly to produce). One can also apply the GA to real world market data to simulate portfolio allocation between different funds. From a theoretical standpoint, these techniques are simply a demonstration of what a GA represents in economics learning.

in Economics : Analysis and Application of Genetic Algorithms. It took me over five years to write this book

Learning in Economics : Analysis and Application of Genetic Algorithms. Thus, the first thing to do is to say 'Thanks a lot'. This means at first place the Evangelisches Studienwerk Haus Villigst. They gave me a grant for my work, thus laying the important financial grounds of everything I've done. 2. The Core Topics Learning and Computational Economics. 2 The Necessity of Learning in Economic Models.

It took me over five years to write this book. Finishing my research project and thus finishing this book would not have been possible without the help of many friends of mine. Thus, the first thing to do is to say 'Thanks a lot' . This means at first place the Evangelisches Studienwerk Haus Villigst. They gave me a grant for my work, thus laying the important financial grounds of everything I've done. There is such a large number of friends I worked and lived with over the last few years that I cannot possibly mention them all by name, but I'll try, anyway: So, thanks Christiane, Gilbert, Maik, Karl, and everybody else feeling that his or her name should appear in this list. And, of course, thanks Franz Haslinger, for letting me do whatever I wanted to - and for even encouraging me to stick with it. One more thing I'd like to mention: Although this work is based on very heavy use of computer power, it is my special pride to say that not a single penny (i.e. Deutschmark) had to be spent for software in order to do this work. Instead, all that has been done has been done by free software. Thus, I would like to mention some of my most heavily used software tools in order to let you, the reader, know that nowadays you don't depend on big commercial software packages any more.