A NOVEL COOPERATION AND COMPETITION STRATEGY AMONG MULTI-AGENT CRAWLERS

被引:0
|
作者
Du, Yajun [1 ]
Xu, Yong [1 ]
Wang, Min [1 ]
机构
[1] Xihua Univ, Sch Mathemat & Comp Sci, Chengdu 610039, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-agent; focused crawler; collaboration; contract net protocol; JADE; SYSTEMS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Multi-Agent theory which is used for communication and collaboration among focused crawlers has been proved that it can improve the precision of returned result significantly. In this paper, we proposed a new organizational structure of multi-agent for focused crawlers, in which the agents were divided into three categories, namely F-Agent (Facilitator-Agent), As-Agent (Assistance Agent) and C-Agent (Crawler-Agent). They worked on their own responsibilities and cooperated mutually to complete a common task of web crawling. In our proposed architecture of focused crawlers based on multi-agent system, we emphasized discussing the collaborative process among multiple agents. To control the cooperation among agents, we proposed a negotiation protocol based on the contract net protocol and achieved the collaboration model of focused crawlers based on multi-agent by JADE. At last, the comparative experiment results showed that our focused crawlers had higher precision and efficiency than other crawlers using the algorithms with breadth-first, best-first, etc.
引用
收藏
页码:1050 / 1078
页数:29
相关论文
共 50 条
  • [31] Research on a Novel Multi-Agent System Negotiation Strategy and Model
    Jiang, Weijin
    Zhou, Xuancheng
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 5739 - 5742
  • [32] Strategy Competition Dynamics of Multi-Agent Systems in the Framework of Evolutionary Game Theory
    Zhang, Jianlei
    Cao, Ming
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (01) : 152 - 156
  • [33] Studies on horizontal cooperation among homogenous retailers based on multi-agent simulation
    Xie, M
    Chen, J
    2005 3RD IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2005, : 181 - 186
  • [34] A Multi-Agent Cooperation System Based on a Layered Cooperation Model
    Hwang, Kao-Shing
    Lin, Jin-Ling
    Hsu, Hsuan-Pei
    2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE), 2014, : 149 - 153
  • [35] Multi-Agent Bipartite Flocking Control Over Cooperation-Competition Networks With Asynchronous Communications
    Ma, Zhuangzhuang
    Shi, Lei
    Chen, Kai
    Shao, Jinliang
    Cheng, Yuhua
    IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2024, 10 : 460 - 472
  • [36] Attentional Opponent Modelling for Multi-agent Cooperation
    Tan, Siyang
    Chen, Binqiang
    2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
  • [37] A framework for facilitating cooperation in multi-agent systems
    Toktam Ebadi
    Maryam Purvis
    Martin Purvis
    The Journal of Supercomputing, 2010, 51 : 393 - 417
  • [38] Exploration for cooperation process of multi-agent system
    Ding, SY
    Gao, B
    Zhang, JW
    Wang, ZZ
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 7421 - 7424
  • [39] A Multi-agent Metaheuristic Optimization Framework with Cooperation
    Lopes Silva, Maria Amelia
    de Souza, Sergio Ricardo
    Freitas Souza, Marcone Jamilson
    de Oliveira, Sabrina Moreira
    2015 BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS 2015), 2015, : 104 - 109
  • [40] Learning Attentional Communication for Multi-Agent Cooperation
    Jiang, Jiechuan
    Lu, Zongqing
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31