Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-07-22
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages, 14 figures
Scientific paper
We analyze grand-canonical minority games with infinite and finite score memory and different updating timescales (from `on-line' games to `batch' games) in detail with various complementary methods, both analytical and numerical. We focus on the emergence of `stylized facts' and on the production of exploitable information, as well as on the dynamic behaviour of the models. We find that with finite score memory no agent can be frozen, and that all the current analytical methods fail to provide satisfactory explanation of the observed behaviours.
Castillo Isaac Pérez
Challet Damien
Marsili Matteo
Martino Andrea de
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