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. 69 (2020)

Published: 2020-09-04

Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification

Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken


AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi


Annotator Rationales for Labeling Tasks in Crowdsourcing

Mucahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease


Contiguous Cake Cutting: Hardness Results and Approximation Algorithms

Paul Goldberg, Alexandros Hollender, Warut Suksompong


Incompatibilities Between Iterated and Relevance-Sensitive Belief Revision

Theofanis Aravanis, Pavlos Peppas, Mary-Anne Williams


Point at the Triple: Generation of Text Summaries from Knowledge Base Triples

Pavlos Vougiouklis, Eddy Maddalena, Jonathon Hare, Elena Simperl


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