• DocumentCode
    2486348
  • Title

    A Study on Multi-Agent based Resource Allocation Mechanism for Automated Enterprise Contracting

  • Author

    Kaihara, Toshiya ; Fujii, Susumu

  • Author_Institution
    Dpt. of Comput. & Syst. Eng., Kobe Univ.
  • fYear
    2006
  • fDate
    20-22 Sept. 2006
  • Firstpage
    567
  • Lastpage
    573
  • Abstract
    A study on multi-agent based resource allocation mechanism for automated enterprise contracting. In this study we focus on automated contracting among enterprise negotiations with unbounded self-interested agents based on economic theory. Each enterprise is modelled as agent, and we consider agent-mediated Pareto optimal allocation of resources through market mechanism. We formulate virtual market model as a discrete resource allocation problem in dynamic situations, and demonstrate the applicability of the market concept with multi-agent paradigm to this framework. In this paper we clarify the proposed mechanism successfully calculates Pareto optimal solutions for the resource allocation in the agent contracting by comparing our method with conventional analytic approaches. Additionally we apply the mechanism into dynamic market environment, and analyse the rationality of the emerged market by computer simulation
  • Keywords
    Pareto optimisation; microeconomics; multi-agent systems; resource allocation; agent contracting; agent-mediated Pareto optimal allocation; automated enterprise contracting; economic theory; enterprise negotiations; multiagent; resource allocation mechanism; unbounded self-interested agents; virtual market model; Computer simulation; Distributed computing; Dynamic programming; Internet; Mechanical engineering; Microeconomics; Pareto analysis; Resource management; Systems engineering and theory; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2006. ETFA '06. IEEE Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    0-7803-9758-4
  • Type

    conf

  • DOI
    10.1109/ETFA.2006.355360
  • Filename
    4178193