Benefits of Cooperation in Multiplayer Coupon Collectors' Games

  • Authors:
  • Riccardo Rovatti;Cristiano Passerini;Gianluca Mazzini

  • Affiliations:
  • ARCES University of Bologna via Toffano, Bologna, Italy;ENDIF University of Ferrara via Saragat, Ferrara, Italy;ENDIF University of Ferrara via Saragat, Ferrara, Italy

  • Venue:
  • International Journal of Adaptive, Resilient and Autonomic Systems
  • Year:
  • 2013

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Abstract

The paper introduces a modified version of the classical Coupon Collector's Problem entailing exchanges and cooperation between multiple players. Results of the development show that, within a proper Markov framework, the complexity of the Cooperative Multiplayer Coupon Collectors' Problem can be attacked with an eye to the modeling of social strategies and community behaviors. The cost of cooperation is computed in terms of exchange protocol burden and found to be dependent on only ensemble parameters such as the number of players and the number of coupons but not on the detailed collection statistics. The benefits of cooperation are quantified in terms of reduction of the average number of actions before collection completion.