An agent-based-multi-issue many-to-many negotiation framework for construction material procurement

被引:0
|
作者
Zhong, Botao [1 ]
Ding, Lieyun [1 ]
机构
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
来源
SIXTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS 1-4: MANAGEMENT CHALLENGES IN A GLOBAL WORLD | 2007年
关键词
e-commerce; construction material procurement; multi-attribute. utility theory; many -to-many negotiation; agent-based automated negotiation; commitments; penalty fee;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
The recent development of multi-agent systems provides an innovative approach. to facilitate various negotiations. In this paper, we focus on the many-to-many negotiation setting for construction material procurement, where a GC negotiates with many suppliers individually in a bilateral fashion, and so do the suppliers. We propose an agent-based multi-issue many-to-many automated negotiation framework to improve negotiation efficiency and effectiveness. The framework integrates the multi-attribute utility theory and integration negotiation to suggest better deals with higher joint payoff. Since negotiation with many opponents simultaneously, a number of negotiation threads work-at the same time and mutually influence each other, we introduce commitment mechanism to permit both sides reneging their commitments by paying penalty fee, so that both sides can select the best deal, this is important and more practical in real construction material procurement cases.
引用
收藏
页码:1717 / 1725
页数:9
相关论文
共 47 条
  • [41] Multi-agent-based multi-attribute negotiation for supply chain coordination in large-scale construction project
    Wang, YW
    Xue, XL
    Li, XD
    Shen, QP
    PROCEEDINGS OF THE WORLD ENGINEERS' CONVENTION 2004, VOL A, NETWORK ENGINEERING AND INFORMATION SOCIETY, 2004, : 415 - 420
  • [42] Agent based multi-attribute negotiation for large-scale construction project supply chain coordination
    Xue Xiaolong
    Wang Yaowu
    Shen Qiping
    2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS PROCEEDINGS, 2006, : 531 - +
  • [43] Task Allocation for Multi-Agent Systems Based on Distributed Many-Objective Evolutionary Algorithm and Greedy Algorithm
    Zhou, Jing
    Zhao, Xiaozhe
    Zhang, Xiaopan
    Zhao, Dongdong
    Li, Huanhuan
    IEEE ACCESS, 2020, 8 : 19306 - 19318
  • [44] An Agent Bilateral Multi-issue Alternate Bidding Negotiation Protocol Based on Reinforcement Learning and its Application in E-commerce
    Jian, Li
    PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY, 2008, : 217 - 220
  • [45] An agent bilateral multi-issue simultaneous bidding negotiation protocol based on genetic algorithm and its application in E-commerce
    Li Jian
    Wang Li-Chang
    Jing Bo
    CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 1, PROCEEDINGS, 2008, : 395 - +
  • [46] AAlign: A SIMD Framework for Pairwise Sequence Alignment on x86-based Multi- and Many-core Processors
    Hou, Kaixi
    Wang, Hao
    Feng, Wu-chun
    2016 IEEE 30TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2016), 2016, : 780 - 789
  • [47] UHCL-Darknet: An OpenCL-based Deep Neural Network Framework for Heterogeneous Multi-/Many-core Clusters
    Liao, Longlong
    Li, Kenli
    Li, Keqin
    Yang, Canqun
    Tian, Qi
    PROCEEDINGS OF THE 47TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, 2018,