4 found
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  1.  19
    Preference-based inconsistency-tolerant query answering under existential rules.Marco Calautti, Sergio Greco, Cristian Molinaro & Irina Trubitsyna - 2022 - Artificial Intelligence 312 (C):103772.
  2.  21
    Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks.Gianvincenzo Alfano, Marco Calautti, Sergio Greco, Francesco Parisi & Irina Trubitsyna - 2023 - Artificial Intelligence 323 (C):103967.
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  3.  7
    Abstract argumentation frameworks with strong and weak constraints.Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi & Irina Trubitsyna - 2024 - Artificial Intelligence 336 (C):104205.
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  4.  44
    A logical framework for view updating in indefinite databases.Luciano Caroprese, Irina Trubitsyna, Miroslaw Truszczyński & Ester Zumpano - 2019 - Logic Journal of the IGPL 27 (6):777-811.
    This paper introduces and studies a declarative framework for updating views over indefinite databases. An indefinite database is a database with null values that are represented, following the standard database approach, by a single null constant. Typically a database is represented by a single set of facts |$D$| that model what is known to be true. This paper proposes a model of an indefinite extensional database that is more expressive with respect to the closed-world assumption (CWA) adapted for the setting (...)
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