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

531-570

AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

419-470

Annotator Rationales for Labeling Tasks in Crowdsourcing

Mucahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease

143-189

Contiguous Cake Cutting: Hardness Results and Approximation Algorithms

Paul Goldberg, Alexandros Hollender, Warut Suksompong

109-141

Incompatibilities Between Iterated and Relevance-Sensitive Belief Revision

Theofanis Aravanis, Pavlos Peppas, Mary-Anne Williams

85-108

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

Pavlos Vougiouklis, Eddy Maddalena, Jonathon Hare, Elena Simperl

1-31

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