A Neural Networks approach to Minority Game

Luca Grilli and Angelo Sfrecola

Quaderni DSEMS from Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia

Abstract: 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.

Keywords: Minority Game; Learning Algorithms; Neural Networks. (search for similar items in EconPapers)
JEL-codes: C45 C70 (search for similar items in EconPapers)
Date: 2005-06
New Economics Papers: this item is included in nep-cmp and nep-gth
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Published in Neural Computing and Applications, Springer, online first..

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http://dx.doi.org/10.1007/s00521-007-0163-1

Related works:
Working Paper: A Neural Networks approach to Minority Game (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:ufg:qdsems:13-2005

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