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ORCIDArtificial Intelligence, Volume 300
Volume 300, November 2021
- Heimo Müller
, Andreas Holzinger:
Kandinsky Patterns. 103546 - Jugal Garg, Setareh Taki:
An improved approximation algorithm for maximin shares. 103547 - Dvir Gilor, Rica Gonen, Erel Segal-Halevi:
Strongly budget balanced auctions for multi-sided markets. 103548 - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Committing to correlated strategies with multiple leaders. 103549 - Bart Bogaerts, Emilio Gamba, Tias Guns:
A framework for step-wise explaining how to solve constraint satisfaction problems. 103550 - Tesca Fitzgerald, Ashok K. Goel, Andrea Thomaz:
Abstraction in data-sparse task transfer. 103551 - Maria Luisa Bonet, Sam Buss, Alexey Ignatiev, António Morgado, João Marques-Silva:
Propositional proof systems based on maximum satisfiability. 103552 - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Gerardo I. Simari, Guillermo Ricardo Simari:
Incremental computation for structured argumentation over dynamic DeLP knowledge bases. 103553 - Michael Winikoff, Galina Sidorenko, Virginia Dignum, Frank Dignum:
Why bad coffee? Explaining BDI agent behaviour with valuings. 103554 - Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz:
Hard choices in artificial intelligence. 103555 - Francesco Belardinelli, Stéphane Demri:
Strategic reasoning with a bounded number of resources: The quest for tractability. 103557 - Pavel Dvorák, Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak:
The complexity landscape of decompositional parameters for ILP: Programs with few global variables and constraints. 103561 - Zeynep G. Saribatur, Thomas Eiter, Peter Schüller:
Abstraction for non-ground answer set programs. 103563
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