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Artificial Intelligence, Volume 323

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Volume 323, October 2023

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  - journals/ai/AlfanoCGPT23
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Gianvincenzo Alfano, Marco Calautti, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks. 103967
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  - journals/ai/Khonji23
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Majid Khonji:
Approximability and efficient algorithms for constrained fixed-horizon POMDPs with durative actions. 103968
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  - journals/ai/LibermanAR23
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Andrés Occhipinti Liberman, Andreas Achen, Rasmus Kræmmer Rendsvig:
Erratum to "Dynamic term-modal logics for first-order epistemic planning" [Artif. Intell. 286 (2020) 103305]. 103969
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  - journals/ai/RosellaFB23
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Giuliano Rosella, Tommaso Flaminio, Stefano Bonzio:
Counterfactuals as modal conditionals, and their probability. 103970
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  - journals/ai/FangW23
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Cheng Fang, Brian C. Williams:
A conflict-directed approach to chance-constrained mixed logical linear programming. 103972
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  - journals/ai/SuPLSB23
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Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, Sebastian Sardiña, Nick van Beest:
Fast and accurate data-driven goal recognition using process mining techniques. 103973
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  - journals/ai/LeeZ23
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Jimmy H. M. Lee, Allen Z. Zhong:
Automatic generation of dominance breaking nogoods for a class of constraint optimization problems. 103974
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Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Yingchao Zhao:
Budget-feasible mechanisms for proportionally selecting agents from groups. 103975
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  - journals/ai/CimaPL23
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Gianluca Cima, Antonella Poggi, Maurizio Lenzerini:
The notion of Abstraction in Ontology-based Data Management. 103976
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  - journals/ai/YinZSZMZHL23
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Yongjing Yin, Jiali Zeng, Jinsong Su, Chulun Zhou, Fandong Meng, Jie Zhou, Degen Huang, Jiebo Luo:
Multi-modal graph contrastive encoding for neural machine translation. 103986
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  - journals/ai/Rodler23
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Patrick Rodler:
Sequential model-based diagnosis by systematic search. 103988
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  - journals/ai/IcarteKVCWM23
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Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Ethan Waldie, Sheila A. McIlraith:
Learning reward machines: A study in partially observable reinforcement learning. 103989
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  - journals/ai/CastiglioniMRG23
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Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti:
Increasing revenue in Bayesian posted price auctions through signaling. 103990

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