雜志介紹

Artificial Intelligence雜志介紹

《Artificial Intelligence》是一本以English為主的未開放獲取國際優秀期刊，中文名稱人工智能，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為5.1，最新CiteScore 指數為11.2。

本刊近期中國學者發表的論文主要有：

• Search-engine-augmented dialogue response generation with cheaply supervised query production

  Author: Wang, Ante; Song, Linfeng; Liu, Qi; Mi, Haitao; Wang, Longyue; Tu, Zhaopeng; Su, Jinsong; Yu, Dong

• Multi resource allocation with partial preferences

  Author: Wang, Haibin; Sikdar, Sujoy; Guo, Xiaoxi; Xia, Lirong; Cao, Yongzhi; Wang, Hanpin

• G-LIME: Statistical learning for local interpretations of deep neural networks using global priors

  Author: Li, Xuhong; Xiong, Haoyi; Li, Xingjian; Zhang, Xiao; Liu, Ji; Jiang, Haiyan; Chen, Zeyu; Dou, Dejing

• Improved local search for the minimum weight dominating set problem in massive graphs by using a deep optimization mechanism

  Author: Chen, Jiejiang; Cai, Shaowei; Wang, Yiyuan; Xu, Wenhao; Ji, Jia; Yin, Minghao

英文介紹

Artificial Intelligence雜志英文介紹

The journal of Artificial Intelligence (AIJ), which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current research in this field. The journal welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to:

automated reasoning and inference,

cognition and AI,

cognition and AI,

case-based reasoning,

commonsense reasoning,

computer vision,

constraint processing,

ethical AI,

explainable AI,

heuristic search,

human interfaces,

intelligent robotics,

knowledge representation,

machine learning,

multi-agent systems,

natural language processing,

planning and action,

reasoning under uncertainty.

The journal reports results achieved in addition to proposals for new ways of looking at AI problems, both of which must include demonstrations of value and effectiveness. Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the AI techniques being exploited.