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

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

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


Contrasting the Spread of Misinformation in Online Social Networks

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


Mapping the landscape of Artificial Intelligence applications against COVID-19

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


Using Machine Learning for Decreasing State Uncertainty in Planning

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


The Complexity Landscape of Outcome Determination in Judgment Aggregation

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


Maximin Share Allocations on Cycles

Miroslaw Truszczynski, Zbigniew Lonc


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

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


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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