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. 76 (2023)

Published: 2023-01-05

On the Evaluation of (Meta-)solver Approaches

Roberto Amadini, Maurizio Gabbrielli, Tong Liu, Jacopo Mauro


Deciding FO-rewritability of Regular Languages and Ontology-Mediated Queries in Linear Temporal Logic

Agi Kurucz, Vladislav Ryzhikov, Yury Savateev, Michael Zakharyaschev


Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof

David Fernández Llorca, Vicky Charisi, Ronan Hamon, Ignacio Sánchez, Emilia Gómez


On Fair Division under Heterogeneous Matroid Constraints

Amitay Dror, Michal Feldman, Erel Segal-Halevi


A Logic of East and West

Heshan Du, Natasha Alechina, Amin Farjudian, Brian Logan, Can Zhou, Anthony G. Cohn


Introduction to the Special Track on Artificial Intelligence and COVID-19

Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla


Finite Materialisability of Datalog Programs with Metric Temporal Operators

Przemysław Wałęga, Michał Zawidzki, Bernardo Cuenca Grau


Generating Random SAT Instances: Multiple Solutions could be Predefined and Deeply Hidden

Dongdong Zhao, Lei Liao, Wenjian Luo, Jianwen Xiang, Hao Jiang, Xiaoyi Hu


Distributed Bayesian: A Continuous Distributed Constraint Optimization Problem Solver

Jeroen Fransman, Joris Sijs, Henry Dol, Erik Theunissen, Bart De Schutter


Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions

Thom Badings, Licio Romao, Alessandro Abate, David Parker, Hasan A. Poonawala, Marielle Stoelinga, Nils Jansen


Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms

Xiaoxi Guo, Sujoy Sikdar, Lirong Xia, Yongzhi Cao, Hanpin Wang


A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel


Viewpoint: Artificial Intelligence Accidents Waiting to Happen?

Federico Bianchi, Amanda Cercas Curry, Dirk Hovy


Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach

Richard Comploi-Taupe, Gerhard Friedrich, Konstantin Schekotihin, Antonius Weinzierl


Lifted Reasoning for Combinatorial Counting

Pietro Totis, Jesse Davis, Luc de Raedt, Angelika Kimmig


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