Focus and Scope

The Journal of Artificial Intelligence Research publishes high-quality, peer-reviewed articles covering all areas of Artificial Intelligence (AI). The journal aims to advance the theoretical foundations, practical applications, and interdisciplinary aspects of AI by fostering rapid and open dissemination of research findings worldwide.

Areas of interest include, but are not limited to:

  • Agents and Multi-Agent Systems

  • Automated Reasoning and Inference

  • Constraint Processing and Search Techniques

  • Knowledge Representation and Ontologies

  • Machine Learning and Deep Learning

  • Natural Language Processing (NLP)

  • Planning, Scheduling, and Decision-Making

  • Robotics, Computer Vision, and Perception

  • Uncertainty in AI and Probabilistic Reasoning

  • Human-AI Interaction and Explainable AI

JAIR welcomes diverse types of scholarly contributions, including:

  • Original Research Articles presenting novel theoretical or practical findings.

  • Survey Papers providing comprehensive reviews of current developments in AI.

  • Technical Notes highlighting significant technical advances or innovations.

As an open-access journal, JAIR ensures global accessibility, enabling rapid and transparent dissemination of knowledge to the AI research community and beyond.