# JETAI — Journal of Experimental and Theoretical Artificial Intelligence

- **Publisher**: Taylor & Francis
- **ISSN**: 0952-813X
- **Impact factor**: 1.7
- **CCF rank**: C
- **Trackers**: 16
- **Canonical page**: https://www.myhuiban.com/journal/226

## Call for papers

Aims and scope Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world-leading journal with a long-term history dedicated to publishing high quality, rigorously reviewed, original papers in Artificial Intelligence (AI) research. Today the journal publishes cutting-edge theoretical and experimental results in all aspects of AI, with particular emphasis on the following topics: Problem-solving Automated reasoning Commonsense reasoning Machine Learning Reinforcement Learning Hybrid AI (Neuro-symbolic Computation) Quantum AI Computational Neuroscience Neuromorphic Computing Cognitive Sciences Ethical AI & AI for Social Good (AI4SG) AI Art JETAI Editorial Board accepts only submissions that bring a solid contribution to AI theory, its methodologies, or the understanding of the core concepts involved in this discipline. The experimental component must be oriented to verify and improve the AI algorithms themselves with the intent of advancing this discipline from a scientific point of view. The journal is not interested in papers presenting applications of conventional methods. Any paper that does not fit the scope of the journal will be desk-rejected. The journal accepts the following article types: a) Research articles (5000 words); b) Reviews articles (4000 words); c) Discussion (2500 words); d) Letters to the Editor (1000 words); e) News. All manuscript submissions are subject to initial appraisal by the Editorial Team, and, if found suitable for further consideration, to double anonymous review by two or more independent, anonymous expert referees. Read the Instructions for Authors for information on how to submit your article. Proposals for special issues should be discussed with the Editor-in-Chief.

## Related conferences

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Source: Conference Partner — https://www.myhuiban.com/journal/226 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)