31 research outputs found
Self organization in a minority game: the role of memory and a probabilistic approach
A minority game whose strategies are given by probabilities p, is replaced by
a 'simplified' version that makes no use of memories at all. Numerical results
show that the corresponding distribution functions are indistinguishable. A
related approach, using a random walk formulation, allows us to identify the
origin of correlations and self organization in the model, and to understand
their disappearence for a different strategy's update rule, as pointed out in a
previous workComment: 9 pages and 4 figure
Self-organization, resources and strategies in a minority game
We find that the existence of self-organization of the members of a recently
proposed minority game, depends on the type of update rules used. The resulting
resource distribution is studied in some detail, and a related strategy scheme
is considered, as a tool to improve the understanding of the modelComment: 4 pages (barely), 3 figure
Comment on "Self segregation versus clustering in the Evolutionary Minority Game"
This is a comment on a paper by S. Hod and E. Nakar, published in Phys. Rev.
Lett. 88, 238702 (2002)Comment: 1 page (PRL-like), 1 Figure. Some changes in the text. Accepted for
publication in Phys.Rev. Let
Quenching and Annealing in the Minority Game
We report the occurrence of quenching and annealing in a version of the
Minority Game (MG) in which the winning option is to join a given fraction of
the population that is a free, external parameter. We compare this to the
different dynamics of the Bar Attendance Model (BAM) where the updating of the
attendance strategy makes use of all available information about the system and
quenching does not occur. We provide an annealing schedule by which the
quenched configuration of the MG reaches equilibrium and coincides with the one
obtained with the BAMComment: 8 pages, 4 figure
The Minority Game with interactions
We partially modify the rules of the Minority Game (MG) by introducing some
degree of local information in the game, which is only available for some
agents, called the interacting agents. Our work shows that, for small values of
the new parameter of the model (the fraction of interacting agents), there is
an improvement of the use of the resources with respect to the MG, while as
this number grows the response of the system changes, and ends up behaving
worst than the usual MG.Comment: 9 pages, 4 figures; typoos corrected; references upadted; Physica A
-like LaTe