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In: 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
In: Diskussionspapiere 219
In: Public choice, Band 133, Heft 1-2, S. 147-155
ISSN: 1573-7101
In: Public choice, Band 133, Heft 1, S. 147-156
ISSN: 0048-5829
In: Journal of economic dynamics & control, Band 25, Heft 6-7, S. 1019-1037
ISSN: 0165-1889
In: Contributions to economics
In: Contributions to Economics; Learning in Economics, S. 7-18
In: Contributions to Economics; Learning in Economics, S. 167-168
In: Contributions to Economics; Learning in Economics, S. 19-35
In: Contributions to Economics; Learning in Economics, S. 63-69
In: Contributions to Economics; Learning in Economics, S. 115-136
In: Contributions to Economics; Learning in Economics, S. 39-62
In: Contributions to Economics; Learning in Economics, S. 3-5
In: Contributions to Economics; Learning in Economics, S. 137-166