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

Modular Structures and Atomic Decomposition in Ontologies

Chiara Del Vescovo, Matthew Horridge, Bijan Parsia, Uli Sattler, Thomas Schneider, Haoruo Zhao

963–1021

To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race

The Anh Han, Luis Moniz Pereira, Francisco C. Santos, Tom Lenaerts

881-921

Contrasting the Spread of Misinformation in Online Social Networks

Marco Amoruso, Daniele Anello, Vincenzo Auletta, Raffaele Cerulli, Diodato Ferraioli, Andrea Raiconi

847-879

Mapping the landscape of Artificial Intelligence applications against COVID-19

Joseph Bullock, Alexandra Luccioni, Katherine Hoffman Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz

807-845

Using Machine Learning for Decreasing State Uncertainty in Planning

Senka Krivic, Michael Cashmore, Daniele Magazzeni, Sandor Szedmak, Justus Piater

765-806

The Complexity Landscape of Outcome Determination in Judgment Aggregation

Ulle Endriss, Ronald de Haan, Jérôme Lang, Marija Slavkovik

687–731

Maximin Share Allocations on Cycles

Miroslaw Truszczynski, Zbigniew Lonc

613-655

The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach

Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio

571-612

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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