• DocumentCode
    2553745
  • Title

    Conflict resolution in multi-agent systems based on negotiation and arbitrage

  • Author

    Kai, Huang ; Zhonghua, Zhang ; Zheng, Qin ; Bing, Liu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    304
  • Lastpage
    307
  • Abstract
    The multi-agent system is the subject of a stream of research within distributed artificial intelligence. For achieving a solution to a certain global problem, each agent has its own local goal to be fulfilled. When working on a shared goal each agent would like its priorities to be given the most consideration. Unfortunately, many agents´ priorities (arising from their own personal goals) will not be coherent with their fellow agents´, thus leading to the conflict problem. This paper presents a formal and executable approach to resolve conflict in multi-agent systems by negotiation and arbitrage. We give the definition of agent, action, environment, negotiation process in formalization. Negotiation and arbitrage strategies of conflict resolution are also presented. Agents can arrive at good solutions by using the above strategies.
  • Keywords
    multi-agent systems; arbitrage strategies; conflict resolution; distributed artificial intelligence; multiagent systems; negotiation process; Artificial intelligence; Artificial satellites; Collaboration; Energy management; Environmental economics; Fellows; Multiagent systems; Power generation economics; Power system management; Runtime; arbitrage; conflict resolution; multi-agent systems; negotiation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5478068
  • Filename
    5478068