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Nicola Olivetti [19]N. Olivetti [5]
  1.  6
    A non-monotonic Description Logic for reasoning about typicality.L. Giordano, V. Gliozzi, N. Olivetti & G. L. Pozzato - 2013 - Artificial Intelligence 195 (C):165-202.
  2.  9
    Semantic characterization of rational closure: From propositional logic to description logics.L. Giordano, V. Gliozzi, N. Olivetti & G. L. Pozzato - 2015 - Artificial Intelligence 226 (C):1-33.
  3.  18
    ‎Proof Theory for Fuzzy Logics.George Metcalfe, Nicola Olivetti & Dov M. Gabbay - 2008 - Dordrecht, Netherland: Springer.
    Fuzzy logics are many-valued logics that are well suited to reasoning in the context of vagueness. They provide the basis for the wider field of Fuzzy Logic, encompassing diverse areas such as fuzzy control, fuzzy databases, and fuzzy mathematics. This book provides an accessible and up-to-date introduction to this fast-growing and increasingly popular area. It focuses in particular on the development and applications of "proof-theoretic" presentations of fuzzy logics; the result of more than ten years of intensive work by researchers (...)
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  4.  43
    Conditional beliefs: From neighbourhood semantics to sequent calculus.Marianna Girlando, Sara Negri, Nicola Olivetti & Vincent Risch - 2018 - Review of Symbolic Logic 11 (4):736-779.
    The logic of Conditional Beliefs has been introduced by Board, Baltag, and Smets to reason about knowledge and revisable beliefs in a multi-agent setting. In this article both the semantics and the proof theory for this logic are studied. First, a natural semantics forCDLis defined in terms of neighbourhood models, a multi-agent generalisation of Lewis’ spheres models, and it is shown that the axiomatization ofCDLis sound and complete with respect to this semantics. Second, it is shown that the neighbourhood semantics (...)
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  5.  58
    Analytic Calculi for Product Logics.George Metcalfe, Nicola Olivetti & Dov Gabbay - 2004 - Archive for Mathematical Logic 43 (7):859-889.
    Product logic Π is an important t-norm based fuzzy logic with conjunction interpreted as multiplication on the real unit interval [0,1], while Cancellative hoop logic CHL is a related logic with connectives interpreted as for Π but on the real unit interval with 0 removed (0,1]. Here we present several analytic proof systems for Π and CHL, including hypersequent calculi, co-NP labelled calculi and sequent calculi.
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  6.  9
    Weak AGM postulates and strong Ramsey Test: A logical formalization.Laura Giordano, Valentina Gliozzi & Nicola Olivetti - 2005 - Artificial Intelligence 168 (1-2):1-37.
  7.  42
    Intuitionistic Non-normal Modal Logics: A General Framework.Tiziano Dalmonte, Charles Grellois & Nicola Olivetti - 2020 - Journal of Philosophical Logic 49 (5):833-882.
    We define a family of intuitionistic non-normal modal logics; they can be seen as intuitionistic counterparts of classical ones. We first consider monomodal logics, which contain only Necessity or Possibility. We then consider the more important case of bimodal logics, which contain both modal operators. In this case we define several interactions between Necessity and Possibility of increasing strength, although weaker than duality. We thereby obtain a lattice of 24 distinct bimodal logics. For all logics we provide both a Hilbert (...)
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  8.  9
    Tableaux for Łukasiewicz Infinite-valued Logic.Nicola Olivetti - 2003 - Studia Logica 73 (1):81-111.
    In this work we propose a labelled tableau method for Łukasiewicz infinite-valued logic Lω. The method is based on the Kripke semantics of this logic developed by Urquhart [25] and Scott [24]. On the one hand, our method falls under the general paradigm of labelled deduction [8] and it is rather close to the tableau systems for sub-structural logics proposed in [4]. On the other hand, it provides a CoNP decision procedure for Lω validity by reducing the check of branch (...)
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  9.  61
    Tableaux for łukasiewicz infinite-valued logic.Nicola Olivetti - 2003 - Studia Logica 73 (1):81 - 111.
    In this work we propose a labelled tableau method for ukasiewicz infinite-valued logic L . The method is based on the Kripke semantics of this logic developed by Urquhart [25] and Scott [24]. On the one hand, our method falls under the general paradigm of labelled deduction [8] and it is rather close to the tableau systems for sub-structural logics proposed in [4]. On the other hand, it provides a CoNP decision procedure for L validity by reducing the check of (...)
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  10. Proof Theory for Propositional Fuzzy Logic.D. M. Gabbay, G. Metcalfe & N. Olivetti - 2005 - Logic Journal of the IGPL 13:561-585.
     
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  11.  45
    Algorithmic proof methods and cut elimination for implicational logics part I: Modal implication.Dov M. Gabbay & Nicola Olivetti - 1998 - Studia Logica 61 (2):237-280.
    In this work we develop goal-directed deduction methods for the implicational fragment of several modal logics. We give sound and complete procedures for strict implication of K, T, K4, S4, K5, K45, KB, KTB, S5, G and for some intuitionistic variants. In order to achieve a uniform and concise presentation, we first develop our methods in the framework of Labelled Deductive Systems [Gabbay 96]. The proof systems we present are strongly analytical and satisfy a basic property of cut admissibility. We (...)
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  12.  31
    Preferential semantics for the logic of comparative similarity over triangular and metric models.Régis Alenda & Nicola Olivetti - 2012 - In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin (eds.), Logics in Artificial Intelligence. Springer. pp. 1--13.
  13.  13
    A Language For Handling Hypothetical Updates And Inconsistency.Dov Gabbay, Laura Giordano, Alberto Martelli & Nicola Olivetti - 1996 - Logic Journal of the IGPL 4 (3):385-416.
    In this paper we propoee a logic programming language which supports hypothetical updates together with integrity constraints. The language makes use of a revision mechanism, which is needed to restore consistency when an update violates some integrity constraint. The revision policy adopted is based on the simple idea that more recent information is preferred to earlier one. We show how this language can be used to represent and perform several types of defeasible reasoning. We develop a logical characterization of the (...)
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  14.  66
    Iterated belief revision and conditional logic.Laura Giordano, Valentina Gliozzi & Nicola Olivetti - 2002 - Studia Logica 70 (1):23-47.
    In this paper we propose a conditional logic called IBC to represent iterated belief revision systems. We propose a set of postulates for iterated revision which are a small variant of Darwiche and Pearl''s ones. The conditional logic IBC has a standard semantics in terms of selection function models and provides a natural representation of epistemic states. We establish a correspondence between iterated belief revision systems and IBC-models. Our representation theorem does not entail Gärdenfors'' Triviality Result.
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  15.  17
    The Logic of Conditional Beliefs: Neighbourhood Semantics and Sequent Calculus.Marianna Girlando, Sara Negri, Nicola Olivetti & Vincent Risch - 2016 - In Lev Beklemishev, Stéphane Demri & András Máté (eds.), Advances in Modal Logic, Volume 11. CSLI Publications. pp. 322-341.
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  16. J. EL1ASSON Ultrapowers as sheaves on a category of ultrafilters 825 A. LEWIS Finite cupping sets 845.G. Metcalfe, N. Olivetti, D. Gabbay, H. Towsner, M. Dzamonja & S. Shelah - 2004 - Archive for Mathematical Logic 43 (7):934.
     
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  17. Proof theory for fuzzy logics. Applied Logic Series, vol. 36.G. Metcalfe, N. Olivetti & D. Gabbay - 2010 - Bulletin of Symbolic Logic 16 (3):415-419.
     
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  18.  18
    Łukasiewicz Logic: From Proof Systems To Logic Programming.George Metcalfe, Nicola Olivetti & Dov Gabbay - 2005 - Logic Journal of the IGPL 13 (5):561-585.
    We present logic programming style “goal-directed” proof methods for Łukasiewicz logic Ł that both have a logical interpretation, and provide a suitable basis for implementation. We introduce a basic version, similar to goal-directed calculi for other logics, and make refinements to improve efficiency and obtain termination. We then provide an algorithm for fuzzy logic programming in Rational Pavelka logic RPL, an extension of Ł with rational constants.
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  19. Advances in Modal Logic, Vol. 13.Nicola Olivetti & Rineke Verbrugge (eds.) - 2020 - College Publications.
  20. Advances in Modal Logic, Vol. 11.Nicola Olivetti & Rineke Verbrugge (eds.) - 2020 - College Publications.
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  21.  30
    Automated Reasoning for Conditional Logics: the Theorem Prover Condlean 3.1.Nicola Olivetti & Gian Luca Pozzato - 2007 - In Jean-Yves Béziau & Alexandre Costa-Leite (eds.), Perspectives on Universal Logic.
  22. Laura Giordano Iterated Belief Revision.Nicola Olivetti & Conditional Logic - 2002 - Studia Logica 70:23-47.
  23.  55
    N-prolog and equivalence of logic programs.Nicola Olivetti & Lea Terracini - 1992 - Journal of Logic, Language and Information 1 (4):253-340.
    The aim of this work is to develop a declarative semantics for N-Prolog with negation as failure. N-Prolog is an extension of Prolog proposed by Gabbay and Reyle, which allows for occurrences of nested implications in both goals and clauses. Our starting point is an operational semantics of the language defined by means of top-down derivation trees. Negation as finite failure can be naturally introduced in this context. A goal-G may be inferred from a database if every top-down derivation of (...)
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  24.  54
    Theorem proving for conditional logics: CondLean and GOALD U CK.Nicola Olivetti & Gian Luca Pozzato - 2008 - Journal of Applied Non-Classical Logics 18 (4):427-473.
    In this paper we focus on theorem proving for conditional logics. First, we give a detailed description of CondLean, a theorem prover for some standard conditional logics. CondLean is a SICStus Prolog implementation of some labeled sequent calculi for conditional logics recently introduced. It is inspired to the so called “lean” methodology, even if it does not fit this style in a rigorous manner. CondLean also comprises a graphical interface written in Java. Furthermore, we introduce a goal-directed proof search mechanism, (...)
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