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AI EDAM
中科院3区 JCR:Q3 JCR:Q2 SCIE EI PubMed JST
AI EDAM is a fully gold open access journal. It publishes original articles about significant AI theory and applications based on the most up-to-date research in all branches and phases of engineering. Suitable topics include: analysis and evaluation; selection; configuration and design; manufacturing and assembly; and concurrent engineering. Specifically, the journal is interested in the use of AI in planning, design, analysis, simulation, qualitative reasoning, spatial reasoning and graphics, manufacturing, assembly, process planning, scheduling, numerical analysis, optimization, distributed systems, multi-agent applications, cooperation, cognitive modeling, learning and creativity. AI EDAM is also interested in original, major applications of state-of-the-art knowledge-based techniques to important engineering problems.
- 主办单位： CAMBRIDGE UNIV PRESS
- 出版地区： CAMBRIDGE
- 出版周期： 年1卷
- 别名： AI EDAM-Artif. Intell. Eng. Des. Anal. Manuf.;AI EDAM-Artificial Intelligence for Engineering Design, Analysis and Manufacturing;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;Artificial Intelligence for Engineering Design, Analysis and Manufacturing : AI EDAM;AI实验训练与维护;AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
- 国际标准连续出版物号/电子版： ISSN 0890-0604 / EISSN 1469-1760
- 创刊时间： 1987年
期刊信息
- 主办单位：CAMBRIDGE UNIV PRESS
- 主 编：Amaresh Chakrabarti
- 地 址： CAMBRIDGE
期刊简介
AI EDAM is a fully gold open access journal. It publishes original articles about significant AI theory and applications based on the most up-to-date research in all branches and phases of engineering. Suitable topics include: analysis and evaluation; selection; configuration and design; manufacturing and assembly; and concurrent engineering. Specifically, the journal is interested in the use of AI in planning, design, analysis, simulation, qualitative reasoning, spatial reasoning and graphics, manufacturing, assembly, process planning, scheduling, numerical analysis, optimization, distributed systems, multi-agent applications, cooperation, cognitive modeling, learning and creativity. AI EDAM is also interested in original, major applications of state-of-the-art knowledge-based techniques to important engineering problems.