
Journal of Artificial Intelligence Research
The Journal of Artificial Intelligence Research (JAIR) is dedicated to the rapid dissemination of important research results to the global artificial intelligence (AI) community.
News - Journal of Artificial Intelligence Research
As JAIR pioneers these changes, it sets a precedent for other journals to follow, ensuring the AI research community can confidently build upon a foundation of trust and rigor.
Submissions - Journal of Artificial Intelligence Research
Authors may submit their JAIR papers to arXiv and similar services, but should ensure that the archived version has the proper metadata for their JAIR publication, including the JAIR volume number, …
Surveys - Journal of Artificial Intelligence Research
This page includes survey papers published in JAIR. All survey articles undergo the same rigorous review process as regular research articles, and are held to the same standards of significance, …
About the Journal - Journal of Artificial Intelligence Research
JAIR (ISSN 1076 - 9757) covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Established in 1993 as one of the first scientific journals …
Special Tracks | Journal of Artificial Intelligence Research - jair.org
JAIR is published by AI Access Foundation, a nonprofit public charity whose purpose is to facilitate the dissemination of scientific results in artificial intelligence.
Archives | Journal of Artificial Intelligence Research
Volume 61 Masthead 1-25 of 85 Next →
FAQ | Journal of Artificial Intelligence Research
The Foundation welcomes all donations, including individual and corporate gifts of money, equipment, and personnel to help support the operation of JAIR. We recently launched the JAIR Sustainability …
Vol. 82 (2025) | Journal of Artificial Intelligence Research - jair.org
Shuang Cui, Kai Han, Jing Tang, Xueying Li, Aakas Zhiyuli, Hanxiao Li
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JAIR invites submissions in all areas of AI. Articles published in JAIR must meet the highest quality standards as measured by originality and significance of the contribution.