NOTE: This is a backup mirror website of http://aiedam.usc.edu. At this point, this site DOES NOT SUPPORT member registration and paper submission. Please go to the primary AIEDAM site for paper submission.
Special Issue - Analogical Thinking
Submissions of full paper to "AIEDAM Special Issue - Analogical Thinking (Vol.29/2, Spring 2015)" are due on February 1, 2014. Please checkout Call for Papers of this issue.
AIEDAM: The Purpose
AIEDAM: Artificial Intelligence for Engineering Design, Analysis and Manufacturing is a journal intended to reach two audiences: engineers and designers who see AI technologies as powerful means for solving difficult engineering problems; and researchers in AI and Computer Science who are interested in applications of AI and in the theoretical issues that arise from such applications.
The journal publishes significant, original articles about AI theory and applications based on the most up-to-date research in all branches and phases of engineering. Suitable broad topic areas include: analysis and evaluation; selection; configuration and design; manufacturing and assembly; and concurrent engineering.
Specific subareas include: cognitive modeling; creativity; learning; qualitative reasoning; spatial reasoning; graphics and modeling; constraints and preferences; style and brands; human-computer interaction; multi-modal interaction; computational linguistics; design and process planning; scheduling; simulation; optimization; distributed teams and systems; multi-agent applications; design rationale and histories; functional, behavioral and structural reasoning; knowledge management; and ontologies.
AIEDAM is also interested in original, major applications of state-of-the-art AI techniques to important engineering problems (termed "practicum papers").
In addition to the rapid publication and dissemination of unsolicited research papers, AIEDAM is committed to producing special issues on important, timely topics.
One key purpose of AIEDAM is to provide the community with a forum for publishing high quality papers that can be cited as the basis for future work, and to provide support to this community through publication, high quality reviewing, and special issues.
Please read AIEDAM's Policy Statement about papers that concern Neural Nets, Evolutionary techniques, or other powerful, general-purpose techniques.
AIEDAM is indexed in Compendex Plus, SciSearch, Research Alert, and CompuMath Citation Index.