The Journal of Artificial Intelligence Research (JAIR) is dedicated to the rapid dissemination of important research results to the global artificial intelligence (AI) community. The journal’s scope encompasses all areas of AI, including agents and multi-agent systems, automated reasoning, constraint processing and search, knowledge representation, machine learning, natural language, planning and scheduling, robotics and vision, and uncertainty in AI.

Vol. 72 (2021)

Published: 2021-09-14

NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models

Greg M. Silverman, Himanshu S. Sahoo, Nicholas E. Ingraham, Monica Lupei, Michael A. Puskarich, Michael Usher, James Dries, Raymond L. Finzel, Eric Murray, John Sartori, Gyorgy Simon, Rui Zhang, Genevieve B. Melton, Christopher J. Tignanelli, Serguei VS Pakhomov


A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer


sunny-as2: Enhancing SUNNY for Algorithm Selection

Tong Liu, Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro


Relevance in Belief Update

Theofanis Aravanis


A Theoretical Perspective on Hyperdimensional Computing

Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing


Pure Nash Equilibria in Resource Graph Games

Tobias Harks, Max Klimm, Jannik Matuschke


On the Computational Complexity of Non-Dictatorial Aggregation

John Livieratos, Phokion G. Kolaitis, Lefteris Kirousis


Finding the Hardest Formulas for Resolution

Tomáš Peitl, Stefan Szeider


Optimizing for Interpretability in Deep Neural Networks with Tree Regularization

Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez


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