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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Dynamic
Sociality Minority Game |
Authors: |
Franco Cicirelli, Angelo Furfaro, Libero Nigro,
Francesco Pupo |
Published in: |
(2011).ECMS
2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M.
Carvalho. European Council for Modeling and Simulation. doi:10.7148/2011 ISBN:
978-0-9564944-2-9 25th
European Conference on Modelling and Simulation, Jubilee Conference Krakow,
June 7-10, 2011
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Citation
format: |
Cicirelli, F., Furfaro, A., Nigro,
L., & Pupo, F. (2011). Dynamic Sociality Minority Game. ECMS 2011
Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho (pp. 27-33). European Council for Modeling and
Simulation. doi:10.7148/2011-0027-0033 |
DOI: |
http://dx.doi.org/10.7148/2011-0027-0033 |
Abstract: |
The
minority game (MG) is a simple yet effective binary- decision model which is
well suited to study the collec- tive emerging behaviour in a population of
agents with bounded and inductive rationality when they have to compete,
through adaptation, for scarce resources. The original formulation of the MG
was inspired by the W.B. Arthur’s El Farol Bar problem in which a fixed num-
ber of people have to independently decide each week whether to go to a bar
having a limited capacity. A de- cision is only affected by information on
the number of visitors who attended the bar in the past weeks. In its basic
version, the MG does not contemplate communi- cation among players and it
supposes that information about the past game outcomes is publicly available.
This paper proposes the Dynamic Sociality Minority Game (DSMG), an original
variant of the classic MG where (i) information about the outcome of the
previously played game step is assumed to be known only by the agents that
really attended the bar the previous week and (ii) a dynamically established
acquaintance relationship is in- troduced to propagate such information among
non at- tendant players. Particular game settings are identified which make
DSMG able to exhibits a better coordina- tion level among players with
respect to standard MG. Behavioral properties of the DSMG are thoroughly an-
alyzed through an agent-based simulation of a simple road-traffic model. |
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