Study on the Modes of Communication of Multi-Agent Systems

被引:0
|
作者
Zheng Yisong [1 ]
Qian, Wang [1 ]
Ling, Wang
机构
[1] Nankai Univ, TEDA Coll, Tianjin 300071, Peoples R China
来源
PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A-C | 2008年
关键词
Multi-Agent Systems (MASs); Agent Communication Languages (ACLs); Knowledge Query Manipulation Language (KQML); Knowledge Interchange Format (KIF);
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Firstly, this paper provides a definition of agents including properties and characteristics, and discusses the similarities and differences between agent technology and traditional artificial intelligence, expert systems, as well as objects. The paradigm, structure, and types of agents, i.e. cognitive and reactive agents, are also discussed. Secondly, this paper discusses the development of Multi-Agent Systems (MASs) and the fundamental issues to be considered when designing a MAS, followed by the delineations of possible benefits drawn when applying the concept of MASs. Thirdly, this paper discusses Agent Communication Languages (ACLs) introduced by both the US-based DARPA-funded Knowledge Sharing Effort (KSE), which developed Knowledge Query Manipulation Language (KQML) and Knowledge Interchange Format (KIF), and the Foundation for Intelligent Physical Agents (FIPA). In the same section, agent development tools are also listed, some of which are commercially available and some are still in the research stage.
引用
收藏
页码:218 / 222
页数:5
相关论文
共 50 条
  • [41] Multi-tier communication abstractions for distributed multi-agent systems
    Thome, M
    INTERNATIONAL CONFERENCE ON INTEGRATION OF KNOWLEDGE INTENSIVE MULTI-AGENT SYSTEMS: KIMAS'03: MODELING, EXPLORATION, AND ENGINEERING, 2003, : 209 - 214
  • [42] Multi-Agent Communication Heterogeneity
    Bravo, Maricela
    Reyes-Ortiz, Jose A.
    Rodriguez, Jose
    Silva-Lopez, Blanca
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 2015, : 583 - 588
  • [43] Multi-Agent Reinforcement Learning With Distributed Targeted Multi-Agent Communication
    Xu, Chi
    Zhang, Hui
    Zhang, Ya
    2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 2915 - 2920
  • [44] Multi-agent systems
    不详
    OBJECTIVE COORDINATION IN MULTI-AGENT SYSTEM ENGINEERING: DESIGN AND IMPLEMENTATION, 2001, 2039 : 9 - 32
  • [45] Multi-Agent Systems
    Julian, Vicente
    Botti, Vicente
    APPLIED SCIENCES-BASEL, 2019, 9 (07):
  • [46] Multi-agent systems
    Talukdar, S
    2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2, 2004, : 59 - 60
  • [47] Multi-agent systems
    Unland, R
    Denzinger, J
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2005, 20 (04): : 223 - 224
  • [48] MULTI-AGENT SYSTEMS
    Pirnau, Mironela
    METALURGIA INTERNATIONAL, 2008, 13 (02): : 39 - 44
  • [49] Communication Connectivity in Multi-agent Systems with Multiple Uncooperative Agents
    Ju, Zhiyang
    Shames, Iman
    Nesic, Dragan
    2019 12TH ASIAN CONTROL CONFERENCE (ASCC), 2019, : 573 - 578
  • [50] Consensus Control of Multi-Agent Systems with Uncertain Communication Links
    Babahaji, Mina
    Firouzmand, Elnaz
    Aghdam, Amir
    Talebi, Heidar A.
    2022 IEEE INTERNATIONAL CONFERENCE ON WIRELESS FOR SPACE AND EXTREME ENVIRONMENTS (WISEE 2022), 2022, : 93 - 98