Volume 69 Masthead

Published: 2020-09-04

Articles

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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Constraint and Satisfiability Reasoning for Graph Coloring

Emmanuel Hebrard, George Katsirelos

33-65

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On Sparse Discretization for Graphical Games

Luis Ortiz

67-84

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Incompatibilities Between Iterated and Relevance-Sensitive Belief Revision

Theofanis Aravanis, Pavlos Peppas, Mary-Anne Williams

85-108

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Contiguous Cake Cutting: Hardness Results and Approximation Algorithms

Paul Goldberg, Alexandros Hollender, Warut Suksompong

109-141

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Annotator Rationales for Labeling Tasks in Crowdsourcing

Mucahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease

143-189

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The Parameterized Complexity of Motion Planning for Snake-Like Robots

Siddharth Gupta, Guy Sa'ar, Meirav Zehavi

191-229

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Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction

Peng Lin, Martin Neil, Norman Fenton

231-295

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Planning High-Level Paths in Hostile, Dynamic, and Uncertain Environments

Jacopo Banfi, Vikram Shree, Mark Campbell

297-342

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Neural Machine Translation: A Review

Felix Stahlberg

343-418

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AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

419-470

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The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation

Shih-Yun Lo, Shiqi Zhang, Peter Stone

471-500

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Properties of Switch-List Representations of Boolean Functions

Miloš Chromý, Ondřej Čepek

501–529

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Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification

Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken

531-570

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

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

571-612

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Maximin Share Allocations on Cycles

Miroslaw Truszczynski, Zbigniew Lonc

613-655

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Belief change and 3-valued logics: Characterization of 19,683 belief change operators

Nerio Borges, Ramón Pino Pérez

657-685

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The Complexity Landscape of Outcome Determination in Judgment Aggregation

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

687–731

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Structure from Randomness in Halfspace Learning with the Zero-One Loss

Ata Kaban, Robert J. Durrant

733-764

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Using Machine Learning for Decreasing State Uncertainty in Planning

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

765-806

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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

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Contrasting the Spread of Misinformation in Online Social Networks

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

847-879

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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

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Qualitative Numeric Planning: Reductions and Complexity

Blai Bonet, Hector Geffner

923–961

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Modular Structures and Atomic Decomposition in Ontologies

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

963–1021

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Credibility-limited Base Revision: New Classes and Their Characterizations

Marco Garapa, Eduardo Fermé, Maurício Reis

1023-1075

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Representing Fitness Landscapes by Valued Constraints to Understand the Complexity of Local Search

Artem Kaznatcheev, David Cohen, Peter Jeavons

1077-1102

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Epistemic Argumentation Framework: Theory and Computation

Chiaki Sakama, Tran Cao Son

1103-1126

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A Differential Privacy Mechanism that Accounts for Network Effects for Crowdsourcing Systems

Yuan Luo, Nicholas R. Jennings

1127-1164

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Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning

Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael Owen, Mykel J. Kochenderfer

1165-1201

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Lifted Bayesian Filtering in Multiset Rewriting Systems

Stefan Lüdtke, Thomas Kirste

1203-1254

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Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes

Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu

1255-1285

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Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study

Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White

1287-1332

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On the Complexity of Learning a Class Ratio from Unlabeled Data

Benjamin Fish, Lev Reyzin

1333–1349

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An Evaluation of Communication Protocol Languages for Engineering Multiagent Systems

Amit K Chopra, Samuel H Christie V, Munindar P. Singh

1351-1393

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Bounds on the Size of PC and URC Formulas

Petr Kučera, Petr Savický

1395-1420

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Deep Reinforcement Learning: A State-of-the-Art Walkthrough

Aristotelis Lazaridis, Anestis Fachantidis, Ioannis Vlahavas

1421-1471

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Diagnosis of Deep Discrete-Event Systems

Gianfranco Lamperti, Marina Zanella, Xiangfu Zhao

1473-1532

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