Artificial Intelligence (journal)

Artificial Intelligence (journal)
Title	Artificial Intelligence
Discipline	Computer science
Abbreviation	Artif. Intell.
Publisher	Elsevier
Country	Netherlands
Frequency	Monthly
History	1970–present
Impact	14.05
Impact-year	2023
Issn	0004-3702

Artificial Intelligence (journal) Artificial Intelligence is a peer-reviewed scientific journal covering research on Alan Turing, John McCarthy, Marvin Minsky, Herbert A. Simon and developments in Reinforcement learning and Machine learning techniques. Founded to disseminate advances associated with conferences such as IJCAI and AAAI Conference on Artificial Intelligence, the journal has published influential work related to systems like IBM Watson and theoretical frameworks from Norbert Wiener and Claude Shannon. It serves researchers active in institutions like Massachusetts Institute of Technology, Stanford University, Carnegie Mellon University, University of California, Berkeley and companies such as Google DeepMind, OpenAI, Microsoft Research and IBM Research.

History

The journal was established in 1970 during a period marked by milestones including the publication of Perceptrons and the organization of early IJCAI meetings, following initiatives from figures associated with Dartmouth Conference (1956), RAND Corporation, Bell Labs, and Stanford Research Institute. Early issues featured work by pioneers connected to University of Edinburgh, University of Pittsburgh, University of Sussex, University of Edinburgh School of Informatics and research groups at MIT Artificial Intelligence Laboratory. Throughout the 1970s and 1980s it paralleled developments in symbolic systems advanced at SRI International and probabilistic approaches emerging from University of Cambridge and University College London. The 1990s saw growth aligned with breakthroughs tied to Hidden Markov model research at AT&T Bell Laboratories and algorithmic advances from Carnegie Mellon University and University of Toronto. In the 2000s the journal intersected with deep learning revolutions occurring at Google Brain, University of Montreal, Facebook AI Research and University of Oxford.

Scope and Editorial Policy

Artificial Intelligence publishes original research on topics historically associated with scholars from Newell and Simon-era teams and contemporary groups at École Polytechnique Fédérale de Lausanne, Technische Universität München, Seoul National University, Tsinghua University and Peking University. Its scope addresses formal methods influenced by work at Princeton University, Cornell University, Yale University, Columbia University and applied systems like autonomous agents developed at Toyota Research Institute and NVIDIA Research. The editorial policy emphasizes peer review procedures comparable to those used by journals linked to Association for Computing Machinery and Institute of Electrical and Electronics Engineers, with ethical considerations resonant with guidelines promoted by European Commission initiatives and standards from ISO. Submission requirements reflect standards shaped by committees from Royal Society panels and advisory boards containing scholars affiliated with University of Edinburgh, École Normale Supérieure, Weizmann Institute of Science and Max Planck Society.

Publication and Indexing

Published monthly by Elsevier, the journal is indexed in databases curated by organizations such as Web of Science, Scopus, Google Scholar, DBLP and INSPEC. It appears in citation lists alongside titles like Journal of Machine Learning Research, Neural Networks (journal), Pattern Recognition (journal), IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics. Institutional subscriptions span libraries at Harvard University, Princeton University, University of Cambridge, National University of Singapore and Australian National University. The journal's articles contribute to metrics used in evaluations by agencies including National Science Foundation, European Research Council, Japan Society for the Promotion of Science and China's National Natural Science Foundation.

Notable Articles and Impact

The journal has published landmark papers cited in works by researchers at DeepMind, OpenAI, Google Research, Microsoft Research Cambridge and IBM Research Watson. Influential articles have intersected with developments in Bayesian networks from groups at University of California, Berkeley and University College London, planning algorithms tied to Stanford Artificial Intelligence Laboratory research, and logic-based frameworks influenced by University of Toronto scholars. Papers appearing in the journal have been referenced in awards such as the Turing Award, IJCAI Award for Research Excellence, ACM SIGAI Autonomous Agents Research Award and policy reports from bodies like OECD and UNESCO. The impact is reflected in interdisciplinary citations from laboratories at Los Alamos National Laboratory, NASA Ames Research Center, European Organization for Nuclear Research and medical groups at Johns Hopkins University.

Editors-in-Chief and Editorial Board

Editors-in-Chief have included scholars affiliated with Stanford University, Massachusetts Institute of Technology, Imperial College London, University of Oxford and Carnegie Mellon University. The editorial board comprises researchers from institutions such as University of Washington, University of Illinois Urbana-Champaign, ETH Zurich, University of Amsterdam, KU Leuven, École Polytechnique, Seoul National University, Peking University, Tsinghua University, University of Melbourne, Université Paris-Saclay, Weizmann Institute of Science, Max Planck Institute for Intelligent Systems, RIKEN, CERN and corporate labs including Apple Inc., Amazon Web Services, DeepMind and NVIDIA. Advisory roles circulate among recipients of honors including the IJCAI-JAIR Best Paper Prize, ACM Fellowship, IEEE Fellowship and membership in national academies like National Academy of Sciences and Royal Society.

Abstracting and Reception in the Field

The journal is abstracted in services maintained by Clarivate, Elsevier's platforms, ProQuest, EBSCO and national repositories at Bibliothèque nationale de France, Deutsche Nationalbibliothek, British Library and Library of Congress. Its reception among researchers at Carnegie Mellon University, Stanford University, University of Toronto, University of Oxford and industrial centers like Google DeepMind and Microsoft Research is reflected in citation practices and curriculum use at graduate programs in institutions such as MIT, UC Berkeley, ETH Zurich and Imperial College London. The journal is frequently discussed at conferences like NeurIPS, ICML, ACL (conference), CVPR and UAI where award-winning work and critiques from panels at Royal Society meetings and sessions at SIGIR and SIGGRAPH shape ongoing scholarly debate.

Category:Computer science journals