Journal of AI welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty. The journal reports results achieved in addition to proposals for new ways of looking at AI problems, which must include demonstrations of value and effectiveness.
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.
Journal of AI
is indexed and abstracted by
Index Copernicus, Asos Index, WorldCat, OpenAIRE, ROAD, BASE, Google Scholar, Academia.edu, Türk Eğitim İndeksi, IAD, EuroPub, Academindex
Izmir Academy Association