Aim & Scope

The journal of Advances in Artificial Intelligence Research (AAIR) is an international and interdisciplinary scholarly open access journal. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible about Artificial Intelligence(AI). Full experimental details and/or study methods must be provided for research articles so that the results can be reproduced. 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. AAIR is committed to maintaining the highest standards of quality and integrity in published research. With an esteemed editorial board comprising leading experts in AI, all submissions undergo rigorous double-blind peer review to ensure scholarly excellence.

AAIR welcomes papers on broad aspects of Artificial Intelligence (AI) that constitute advances in the overall field including, but not limited to, cognition and AI. AAIR covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Apart from regular papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, and Book Reviews. The journal will also consider summary papers that describe challenges and competitions from various areas of AI. Such papers should motivate and describe the competition design as well as report and interpret competition results, with an emphasis on insights that are of value beyond the competition (series) itself.

• AI Theory
• AI Technique
• AI Application
• Intelligent machine/agent
• Knowledge representation
• Knowledge reasoning
• Machine learning
• Computer vision
• Planning
• Robotics
• Natural language processing
• Artificial neural networks
• Evolutionary computing
• Probabilistics computing
• Genetic algorithms
• Fuzzy logic
• Expert systems


Other Keywords: Deep learning; reinforcement learning; machine perception; machine recognition; computer algorithms; automated reasoning and inference; case-based reasoning; reasoning under uncertainty; knowledge engineering; multi-agent planning; multi-agent systems; automated planning and scheduling; information retrieval; text mining; question answering; machine translation; smart computer programs; AI software development; heuristic search; human interfaces; intelligent robotics; motion and manipulation; affective computing; robotic systems; neuromorphic computing; human–machine interaction; multi-sensor; ethical machines; artificial consciousness; robot rights; AI logistics; AI automotive; data mining; AI medical diagnosis; AI healthcare; big data; AI military; etc.

Period Months
February July
Last Update Time: 12/6/24, 10:08:38 AM

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Advances in Artificial Intelligence Research is an open access journal which means that the content is freely available without charge to the user or his/her institution. All papers are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which allows users to distribute, remix, adapt, and build upon the material in any medium or format for non-commercial purposes only, and only so long as attribution is given to the creator.

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