A Neural Networks approach to Minority Game
The Minority Game comes from the so-called "El Farol bar" problem by W.B. Arthur. The underlying idea is competition for limited resources and it can be applied to different fields such as: stock markets, alternative roads between two locations and in general problems in which the players in the "minority" win. Players in this game use a window of the global history for making their decisions, we propose a neural networks approach with learning algorithms in order to determine players strategies. We use three different algorithms to generate the sequence of minority decisions and consider the prediction power of the neural network associated to that algorithm. The case of sequences generated randomly is also studied.
|Date of creation:||Jun 2005|
|Date of revision:|
|Publication status:||published in Neural Computing and Applications, Springer, online first..|
|Note:||pdf file is available on request|
|Contact details of provider:|| Postal: |
Web page: http://www.dsems.unifg.it
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bernaschi, Massimo & Grilli, Luca & Vergni, Davide, 2002.
"Statistical analysis of fixed income market,"
Physica A: Statistical Mechanics and its Applications,
Elsevier, vol. 308(1), pages 381-390.
- Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-11, May.
When requesting a correction, please mention this item's handle: RePEc:ufg:qdsems:13-2005. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Luca Grilli)
If references are entirely missing, you can add them using this form.