• DocumentCode
    1957294
  • Title

    A method of computing equilibrium for the partnership formation

  • Author

    Junwu Zhu ; Heng Song ; Fang Liu ; Guocheng Yin

  • Author_Institution
    Sch. of Inf. Eng., YangZhou Univ., Yangzhou, China
  • fYear
    2015
  • fDate
    6-8 May 2015
  • Firstpage
    73
  • Lastpage
    78
  • Abstract
    In the model of partnership formation, every agent is in hot pursuit of maximizing his own utility. Doft Talman and Zaifu Yang have revealed the necessary condition of the existence of partnership equilibrium, however, the methods of how to compute the equilibrium are not given. The paper presents a method to compute the partnership utility equilibrium based on socially optimal assignment. Firstly, the partnership groups with social optimality are exhausted in the all possible cooperative pairs, and then under the condition of the existence of equilibrium, an algorithm is given to get the Equilibrium Utility Vector so as to approach the equilibrium status after multiple iterations. This solution to computing partnership payoff equilibrium can be obtained in O(n2) time. At last, to verify the method given by this paper, an example of municipal water supply planning is given to illustrate the correctness and effectiveness.
  • Keywords
    cloud computing; game theory; multi-agent systems; cloud computing; cooperative game theory; cooperative pairs; equilibrium status; equilibrium utility vector; multiagent system; municipal water supply planning; partnership formation; partnership groups; partnership payoff equilibrium; partnership utility equilibrium; social optimality; socially optimal assignment; Equilibrium; Partnership; Socially optimal; Utility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th International Conference on
  • Conference_Location
    Calabria
  • Print_ISBN
    978-1-4799-2001-3
  • Type

    conf

  • DOI
    10.1109/CSCWD.2015.7230936
  • Filename
    7230936