Autonomous Agents And Multi-agent Systems
  • 数据库收录SCIE
  • 创刊年份1998年
  • 年发文量47
  • H-index64

Autonomous Agents And Multi-agent Systems

期刊中文名:自治代理和多代理系统ISSN:1387-2532E-ISSN:1573-7454

该杂志国际简称:AUTON AGENT MULTI-AG,是由出版商Springer US出版的一本致力于发布计算机科学研究新成果的的专业学术期刊。该杂志以AUTOMATION & CONTROL SYSTEMS研究为重点,主要发表刊登有创见的学术论文文章、行业最新科研成果,扼要报道阶段性研究成果和重要研究工作的最新进展,选载对学科发展起指导作用的综述与专论,促进学术发展,为广大读者服务。该刊是一本国际优秀杂志,在国际上有很高的学术影响力。

基本信息:
期刊简称:AUTON AGENT MULTI-AG
是否OA:未开放
是否预警:
Gold OA文章占比:44.06%
出版信息:
出版地区:UNITED STATES
出版周期:Bimonthly
出版语言:English
出版商:Springer US
评价信息:
中科院分区:3区
JCR分区:Q3
影响因子:2
CiteScore:6
杂志介绍 中科院JCR分区 JCR分区 CiteScore 投稿经验

杂志介绍

Autonomous Agents And Multi-agent Systems杂志介绍

《Autonomous Agents And Multi-agent Systems》是一本以English为主的未开放获取国际优秀期刊,中文名称自治代理和多代理系统,本刊主要出版、报道计算机科学-AUTOMATION & CONTROL SYSTEMS领域的研究动态以及在该领域取得的各方面的经验和科研成果,介绍该领域有关本专业的最新进展,探讨行业发展的思路和方法,以促进学术信息交流,提高行业发展。该刊已被国际权威数据库SCIE收录,为该领域相关学科的发展起到了良好的推动作用,也得到了本专业人员的广泛认可。该刊最新影响因子为2,最新CiteScore 指数为6。

本刊近期中国学者发表的论文主要有:

  • Learning by reusing previous advice: a memory-based teacher-student framework

    Author: Zhu, Changxi; Cai, Yi; Hu, Shuyue; Leung, Ho-fung; Chiu, Dickson K. W.

  • Accelerating deep reinforcement learning via knowledge-guided policy network

    Author: Yu, Yuanqiang; Zhang, Peng; Zhao, Kai; Zheng, Yan; Hao, Jianye

  • Electoral manipulation via influence: probabilistic model

    Author: Tao, Liangde; Chen, Lin; Xu, Lei; Xu, Shouhuai; Gao, Zhimin; Shi, Weidong

  • Online Markov decision processes with non-oblivious strategic adversary

    Author: Dinh, Le Cong; Mguni, David Henry; Tran-Thanh, Long; Wang, Jun; Yang, Yaodong

英文介绍

Autonomous Agents And Multi-agent Systems杂志英文介绍

This is the official journal of the International Foundation for Autonomous Agents and Multi-Agent Systems. It provides a leading forum for disseminating significant original research results in the foundations, theory, development, analysis, and applications of autonomous agents and multi-agent systems. Coverage in Autonomous Agents and Multi-Agent Systems includes, but is not limited to:

Agent decision-making architectures and their evaluation, including: cognitive models; knowledge representation; logics for agency; ontological reasoning; planning (single and multi-agent); reasoning (single and multi-agent)

Cooperation and teamwork, including: distributed problem solving; human-robot/agent interaction; multi-user/multi-virtual-agent interaction; coalition formation; coordination

Agent communication languages, including: their semantics, pragmatics, and implementation; agent communication protocols and conversations; agent commitments; speech act theory

Ontologies for agent systems, agents and the semantic web, agents and semantic web services, Grid-based systems, and service-oriented computing

Agent societies and societal issues, including: artificial social systems; environments, organizations and institutions; ethical and legal issues; privacy, safety and security; trust, reliability and reputation

Agent-based system development, including: agent development techniques, tools and environments; agent programming languages; agent specification or validation languages

Agent-based simulation, including: emergent behavior; participatory simulation; simulation techniques, tools and environments; social simulation

Agreement technologies, including: argumentation; collective decision making; judgment aggregation and belief merging; negotiation; norms

Economic paradigms, including: auction and mechanism design; bargaining and negotiation; economically-motivated agents; game theory (cooperative and non-cooperative); social choice and voting

Learning agents, including: computational architectures for learning agents; evolution, adaptation; multi-agent learning.

Robotic agents, including: integrated perception, cognition, and action; cognitive robotics; robot planning (including action and motion planning); multi-robot systems.

Virtual agents, including: agents in games and virtual environments; companion and coaching agents; modeling personality, emotions; multimodal interaction; verbal and non-verbal expressiveness

Significant, novel applications of agent technology

Comprehensive reviews and authoritative tutorials of research and practice in agent systems

Comprehensive and authoritative reviews of books dealing with agents and multi-agent systems.

中科院SCI分区

Autonomous Agents And Multi-agent Systems杂志中科院分区信息

2023年12月升级版
综述:
TOP期刊:
大类:计算机科学 3区
小类:

AUTOMATION & CONTROL SYSTEMS
自动化与控制系统 3区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能 3区

2022年12月升级版
综述:
TOP期刊:
大类:计算机科学 4区
小类:

AUTOMATION & CONTROL SYSTEMS
自动化与控制系统 3区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能 4区

2021年12月旧的升级版
综述:
TOP期刊:
大类:计算机科学 4区
小类:

AUTOMATION & CONTROL SYSTEMS
自动化与控制系统 4区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能 4区

2021年12月基础版
综述:
TOP期刊:
大类:工程技术 4区
小类:

AUTOMATION & CONTROL SYSTEMS
自动化与控制系统 4区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能 4区

2021年12月升级版
综述:
TOP期刊:
大类:计算机科学 4区
小类:

AUTOMATION & CONTROL SYSTEMS
自动化与控制系统 4区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能 4区

2020年12月旧的升级版
综述:
TOP期刊:
大类:计算机科学 3区
小类:

AUTOMATION & CONTROL SYSTEMS
自动化与控制系统 3区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能 3区

中科院SCI分区:是中国科学院文献情报中心科学计量中心的科学研究成果。期刊分区表自2004年开始发布,延续至今;2019年推出升级版,实现基础版、升级版并存过渡,2022年只发布升级版,期刊分区表数据每年底发布。 中科院分区为4个区。中科院分区采用刊物前3年影响因子平均值进行分区,即前5%为该类1区,6%~20%为2区、21%~50%为3区,其余的为4区。1区和2区杂志很少,杂志质量相对也高,基本都是本领域的顶级期刊。

JCR分区(2023-2024年最新版)

Autonomous Agents And Multi-agent Systems杂志 JCR分区信息

按JIF指标学科分区
学科:AUTOMATION & CONTROL SYSTEMS
收录子集:SCIE
分区:Q3
排名:45 / 84
百分位:

47%

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
收录子集:SCIE
分区:Q3
排名:130 / 197
百分位:

34.3%

按JCI指标学科分区
学科:AUTOMATION & CONTROL SYSTEMS
收录子集:SCIE
分区:Q3
排名:56 / 84
百分位:

33.93%

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
收录子集:SCIE
分区:Q3
排名:141 / 198
百分位:

29.04%

JCR分区:JCR分区来自科睿唯安公司,JCR是一个独特的多学科期刊评价工具,为唯一提供基于引文数据的统计信息的期刊评价资源。每年发布的JCR分区,设置了254个具体学科。JCR分区根据每个学科分类按照期刊当年的影响因子高低将期刊平均分为4个区,分别为Q1、Q2、Q3和Q4,各占25%。JCR分区中期刊的数量是均匀分为四个部分的。

CiteScore 评价数据(2024年最新版)

Autonomous Agents And Multi-agent Systems杂志CiteScore 评价数据

  • CiteScore 值:6
  • SJR:0.855
  • SNIP:1.89
学科类别 分区 排名 百分位
大类:Computer Science 小类:Artificial Intelligence Q2 132 / 350

62%

历年影响因子和期刊自引率

投稿经验

Autonomous Agents And Multi-agent Systems杂志投稿经验

该杂志是一本国际优秀杂志,在国际上有较高的学术影响力,行业关注度很高,已被国际权威数据库SCIE收录,该杂志在AUTOMATION & CONTROL SYSTEMS综合专业领域专业度认可很高,对稿件内容的创新性和学术性要求很高,作为一本国际优秀杂志,一般投稿过审时间都较长,投稿过审时间平均 12周,或约稿 ,如果想投稿该刊要做好时间安排。版面费不祥。该杂志近两年未被列入预警名单,建议您投稿。如您想了解更多投稿政策及投稿方案,请咨询客服。

免责声明

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