Cooperation of agents in competitive environments is more complicated than in collaborative environments. Both replanning and reconfiguration play a crucial role in cooperation, and introduce a means for implementating a system flexibility. The concepts of commitments, decommitments with penalties and subcontracting may facilitate effective reconfiguration and replanning. Agents in competitive environments are fully autonomous and selfinterested. Therefore the setting of penalties and profit computation cannot be provided centrally. Both the costs and the gain differ from agent to agent with respect to contracts already agreed and resources load. This paper proposes an acquaintance model for contracting in competitive environments and introduces possibilities of reconfigurating in competitive environments as a means of decommitment optimization with respect to resources load and profit maximization. The presented algorithm for contract price setting does not use any centralized knowledge and provides results corresponding to a realistic environment. A simple customerprovider scenario proves this algorithm in competitive contracting.


    Access

    Download


    Export, share and cite



    Title :

    Multi-agent Contracting and Reconfiguration in Competitive Environments using Acquaintance Models


    Contributors:
    Bíba, J. (author) / Vokřínek, J. (author)

    Publication date :

    2006-01-04


    Remarks:

    doi:10.14311/838
    Acta Polytechnica; Vol 46, No 4 (2006) ; 1805-2363 ; 1210-2709



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Adaptive services reconfiguration in manufacturing environments using a multi-agent system approach

    Rodrigues, Nelson / Leitão, Paulo / Oliveira, Eugénio | BASE | 2015

    Free access

    Dynamic service reconfiguration with multi-agent systems

    Rodrigues N. / Rodrigues, Nelson / Leitão, Paulo et al. | BASE | 2017

    Free access

    System Description for Reconfiguration of Fault Diagnosis Multi-agent

    Fan, Y.-p. / Chen, Y.-p. / Huang, X.-y. | British Library Online Contents | 2003


    Operational Diving Acquaintance Course for Engineers

    Society for Underwater Technology | TIBKAT | 1989


    Algorithm for Optimal Bid Packaging for Competitive Contracting in Public Transit

    Chowdhury, M. Sabbir U. / Kaysi, Isam A. / Shalaby, Amer | Transportation Research Record | 2006