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  1. Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, (...)
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  • A Note on a Description Logic of Concept and Role Typicality for Defeasible Reasoning Over Ontologies.Ivan Varzinczak - 2018 - Logica Universalis 12 (3-4):297-325.
    In this work, we propose a meaningful extension of description logics for non-monotonic reasoning. We introduce \, a logic allowing for the representation of and reasoning about both typical class-membership and typical instances of a relation. We propose a preferential semantics for \ in terms of partially-ordered DL interpretations which intuitively captures the notions of typicality we are interested in. We define a tableau-based algorithm for checking \ knowledge-base consistency that always terminates and we show that it is sound and (...)
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  • Data repair of inconsistent nonmonotonic description logic programs.Thomas Eiter, Michael Fink & Daria Stepanova - 2016 - Artificial Intelligence 239 (C):7-53.
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  • Enhancing context knowledge repositories with justifiable exceptions.Loris Bozzato, Thomas Eiter & Luciano Serafini - 2018 - Artificial Intelligence 257 (C):72-126.
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  • On rational entailment for Propositional Typicality Logic.Richard Booth, Giovanni Casini, Thomas Meyer & Ivan Varzinczak - 2019 - Artificial Intelligence 277 (C):103178.
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  • Rational closure for all description logics.P. A. Bonatti - 2019 - Artificial Intelligence 274 (C):197-223.
  • Optimizing the computation of overriding in DL N.P. A. Bonatti, I. M. Petrova & L. Sauro - 2022 - Artificial Intelligence 311 (C):103764.
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  • On the logical properties of the nonmonotonic description logic DL N.P. A. Bonatti & L. Sauro - 2017 - Artificial Intelligence 248 (C):85-111.
  • How to construct Remainder Sets for Paraconsistent Revisions: Preliminary Report.Rafael Testa, Eduardo Fermé, Marco Garapa & Maurício Reis - 2018 - 17th INTERNATIONAL WORKSHOP ON NON-MONOTONIC REASONING.
    Revision operation is the consistent expansion of a theory by a new belief-representing sentence. We consider that in a paraconsistent setting this desideratum can be accomplished in at least three distinct ways: the output of a revision operation should be either non-trivial or non-contradictory (in general or relative to the new belief). In this paper those distinctions will be explored in the constructive level by showing how the remainder sets could be refined, capturing the key concepts of paraconsistency in a (...)
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  • A Description Logic Framework for Commonsense Conceptual Combination Integrating Typicality, Probabilities and Cognitive Heuristics.Antonio Lieto & Gian Luca Pozzato - 2019 - Journal of Experimental and Theoretical Artificial Intelligence:1-39.
    We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic of typicality ALC + TR, whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equipped with a cognitive heuristic used by humans for concept composition. We first extend the logic of typicality ALC + TR by typicality inclusions of the (...)
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