Revue d'Intelligence Artificielle
- ISSN:0992-499X (print); 1958-5748 (online)
- Indexing & Archiving:ScopusSCImago (SJR)MIAREBSCOhostPublonsScienceOpenGoogle ScholarCrossRefPorticoMicrosoft AcademicCNKI ScholarBaidu Scholar
- Subject:Computer SciencesEngineering
Revue d'Intelligence Artificielle (RIA) is a top-rated international journal that updates the latest advances in broad aspects of artificial intelligence (AI), ranging from case-based reasoning, computer vision, to intelligent robotics. The editorial board welcomes papers that deal with AI problems from new angles, and propose innovative and effective AI techniques. Authors are also encouraged to submit papers on AI applications. However, the application-centered papers should focus on novel AI techniques that truly promote application performance, rather than directly apply an existing AI technique. The submitted papers must meet strict standards on originality, rigor, and scientific quality, serving as working tools and privileged references for researchers in relevant fields.
Focus and Scope
The RIA welcomes original research papers, technical notes, and review articles on various disciplines, including but not limited to:
- Automated reasoning and inference
- Case-based reasoning
- Cognition and AI
- Commonsense reasoning
- Computer vision
- Constraint processing
- Ethical AI
- Heuristic search
- Human interfaces
- Intelligent robotics
- Knowledge representation
- Knowledge engineering
- Machine learning
- Multi-agent systems
- Natural language processing
- Planning and action
- Reasoning modelling
- Reasoning under uncertainty
The RIA is published regularly by the IIETA, with six regular issues (excluding special issues) and one volume per year.
Peer Review Statement
The IIETA adopts a double blind review process. Once submitted, a paper dealing with suitable topics will be sent to the editor-in-chief or managing editor, and then be reviewed by at least two experts in the relevant field. The reviewers are either members of our editorial board or special external experts invited by the journal. In light of the reviewers’ comments, the editor-in-chief or managing editor will make the final decision over the publication, and return the decision to the author.
There are four possible decisions concerning the paper: acceptance, minor revision, major revision and rejection. Acceptances means the paper will be published directly without any revision. Minor revision means the author should make minor changes to the manuscript according to reviewers’ comments and submit the revised version to the IIETA. The revised version will be accepted or rejected at the discretion of the editor-in-chief or managing editor. Major revision means the author should modify the manuscript significantly according to reviewers’ comments and submit the revised version to the IIETA. The revised version will be accepted or rejected at the discretion of the editor-in-chief or managing editor. Rejection means the submitted paper will not be published.
If a paper is accepted, the editor-in-chief or managing editor will send an acceptance letter to the author, and ask the author to prepare the paper in MS Word using the template of IIETA.
Plagiarism is committed when one author uses another work without permission, credit, or acknowledgment. Plagiarism takes different forms, from literal copying to paraphrasing the work of another. The IIETA uses CrossRef to screen for unoriginal material. Authors submitting to an IIETA journal should be aware that their paper may be submitted to CrossRef at any point during the peer-review or production process. Any allegations of plagiarism made to a journal will be investigated by the editor-in-chief or managing editor. If the allegations appear to be founded, we will request all named authors of the paper to give an explanation of the overlapping material. If the explanation is not satisfactory, we will reject the submission, and may also reject future submissions.
For instructions on citing any of IIETA’s journals as well as our Ethics Statement, see Policies and Standards.
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ISSN: 0992-499X (print); 1958-5748 (online)
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