• DocumentCode
    2976374
  • Title

    Weighted voting game based algorithm for joining a microscopic coalition

  • Author

    Lau, Billy Pik Lik ; Singh, A.K. ; Tan, Terence Peng Lian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ. Sarawak, Miri, Malaysia
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Coalition formation (CF) creates a coherent group between autonomous agents to efficiently achieve individual or collective goals. However, the idle agents are not able to maximize their utility. In this paper, the weighted voting mechanism (WVM) has been proposed that allows agents to join existing coalitions. The experiments endorsed agents´ number and the trust element as parameters to study the voting result percentage. The simulation of the WVM shows the complete voting session percentage which is a measurement of agents´ voting efficiency has been reduced to 26.4% in a society of 500 agents. Utilizing the WVM, the voting session of the coalition in deciding agents´ joining coalition request (JCR) can be reduced and increase the efficiency of the decision making.
  • Keywords
    decision making; game theory; multi-agent systems; CF; JCR; WVM; agent joining coalition request; agent number; agent voting efficiency; autonomous agents; coalition formation; decision making; microscopic coalition; trust element; voting result percentage; voting session percentage; weighted voting game based algorithm; weighted voting mechanism; Autonomous agents; Computers; Decision making; Educational institutions; Games; Microscopy; Multi-agent systems; decision making; game theory; microscopic coalition; multi-agent systems; weighted voting mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6718491
  • Filename
    6718491