Balanced reactive-deliberative architecture for multi-agent system for simulation league of RoboCup

被引：0
|
作者：
Min Wu
Wei-Hua Cao
Jun Peng
Jin-Hua She
Xin Chen
机构：
[1] Central South University,School of Information Science and Engineering
[2] Tokyo University of Technology,School of Computer Science
来源：
International Journal of Control, Automation and Systems | 2009年 / 7卷
关键词：
Agent architecture; confidence function; decision; deliberative; multi-agent cooperation; multi-agent system (MAS); reactive; RoboCup;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents an architecture for a multi-agent system for the RoboCup simulation league. It consists of a dynamic dual behavior-based architecture for an intelligent agent, a behavior-based decision algorithm, and a dynamic role-based multi-agent cooperation model. A new concept called confidence function is introduced to balance reactivity and deliberation. This architecture was implemented in a team, and match results demonstrate its validity.
引用
收藏
页码：945 / 955
页数：10
相关论文
共 50 条
  • [1] Balanced Reactive-Deliberative Architecture for Multi-Agent System for Simulation League of RoboCup
    Wu, Min
    Cao, Wei-Hua
    Peng, Jun
    She, Jin-Hua
    Chen, Xin
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2009, 7 (06) : 945 - 955
  • [2] A new multi-agent system architecture and its application in RoboCup
    Wu, Min
    Cao, Wei-Hua
    Gui, Wei-Hua
    Peng, Jun
    She, Jin-Hua
    Zidonghua Xuebao/Acta Automatica Sinica, 2006, 32 (05): : 686 - 694
  • [3] Multi-Agent Goal Reasoning with the CLIPS Executive in the RoboCup Logistics League
    Hofmann, Till
    Viehmann, Tarik
    Gomaa, Mostafa
    Habering, Daniel
    Niemueller, Tim
    Lakemeyer, Gerhard
    ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 1, 2021, : 80 - 91
  • [4] Bio-Inspired Architecture for a Reactive-Deliberative Robot Controller
    Rubilar, Fabian
    Escobar, Maria-Jose
    Arredondo, Tomas
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 2027 - 2035
  • [5] Decision making for a RoboCup multi-agent system
    Vetulani, Z
    ROMOCO'02: PROCEEDINGS OF THE THIRD INTERNATIONAL WORKSHOP ON ROBOT MOTION AND CONTROL, 2002, : 193 - 200
  • [6] Reactive and deliberative control and cooperation in multi-agent system based process automation
    Seilonen, I
    Koskinen, K
    Pirttioja, T
    Appelqvist, P
    Halme, A
    2005 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, PROCEEDINGS, 2005, : 469 - 474
  • [7] Research on multi-agent communication based RoboCup simulation soccer competition system
    Min, Huaqing
    Fan, Yaojun
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2004, 32 (SUPPL.): : 157 - 160
  • [8] Architecture of Multi-Agent System
    Tomasek, M.
    10TH IEEE INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA 2012), 2012, : 387 - 390
  • [9] UFSC-Team: A cognitive multi-agent approach to the RoboCup'98 Simulator League
    da Costa, ACPL
    da Costa, ACPL
    ROBOCUP-98: ROBOT SOCCER WORLD CUP II, 1999, 1604 : 371 - 376
  • [10] Coordination in multi-agent RoboCup teams
    Candea, C
    Hu, HS
    Iocchi, L
    Nardi, D
    Piaggio, M
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2001, 36 (02) : 67 - 86
12345