Digital Library

of the European Council for Modelling and Simulation



Dynamic Sociality Minority Game


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


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



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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