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  1. Embedding justification theory in approximation fixpoint theory.Simon Marynissen, Bart Bogaerts & Marc Denecker - 2024 - Artificial Intelligence 331 (C):104112.
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  • Semantics, conceptual spaces, and the meeting of minds.Massimo Warglien & Peter Gärdenfors - 2013 - Synthese 190 (12):2165-2193.
    We present an account of semantics that is not construed as a mapping of language to the world but rather as a mapping between individual meaning spaces. The meanings of linguistic entities are established via a “meeting of minds.” The concepts in the minds of communicating individuals are modeled as convex regions in conceptual spaces. We outline a mathematical framework, based on fixpoints in continuous mappings between conceptual spaces, that can be used to model such a semantics. If concepts are (...)
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  • A game semantics for disjunctive logic programming.Thanos Tsouanas - 2013 - Annals of Pure and Applied Logic 164 (11):1144-1175.
    Denotational semantics of logic programming and its extensions have been studied thoroughly for many years. In 1998, a game semantics was given to definite logic programs by Di Cosmo, Loddo, and Nicolet, and a few years later it was extended to deal with negation by Rondogiannis and Wadge. Both approaches were proven equivalent to the traditional semantics. In this paper we define a game semantics for disjunctive logic programs and prove soundness and completeness with respect to the minimal model semantics (...)
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  • Approximating operators and semantics for abstract dialectical frameworks.Hannes Strass - 2013 - Artificial Intelligence 205 (C):39-70.
  • The Logic of Generalized Truth Values and the Logic of Bilattices.Sergei P. Odintsov & Heinrich Wansing - 2015 - Studia Logica 103 (1):91-112.
    This paper sheds light on the relationship between the logic of generalized truth values and the logic of bilattices. It suggests a definite solution to the problem of axiomatizing the truth and falsity consequence relations, \ and \ , considered in a language without implication and determined via the truth and falsity orderings on the trilattice SIXTEEN 3 . The solution is based on the fact that a certain algebra isomorphic to SIXTEEN 3 generates the variety of commutative and distributive (...)
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  • Annotated revision programs.Victor Marek, Inna Pivkina & Mirosław Truszczyński - 2002 - Artificial Intelligence 138 (1-2):149-180.
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  • Logic programs and connectionist networks.Pascal Hitzler, Steffen Hölldobler & Anthony Karel Seda - 2004 - Journal of Applied Logic 2 (3):245-272.
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  • Connecting bilattice theory with multivalued logic.Daniele Genito & Giangiacomo Gerla - 2014 - Logic and Logical Philosophy 23 (1):15-45.
    This is an exploratory paper whose aim is to investigate the potentialities of bilattice theory for an adequate definition of the deduction apparatus for multi-valued logic. We argue that bilattice theory enables us to obtain a nice extension of the graded approach to fuzzy logic. To give an example, a completeness theorem for a logic based on Boolean algebras is proved.
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  • Game semantics for non-monotonic intensional logic programming.Chrysida Galanaki, Christos Nomikos & Panos Rondogiannis - 2017 - Annals of Pure and Applied Logic 168 (2):234-253.
  • An infinite-game semantics for well-founded negation in logic programming.Chrysida Galanaki, Panos Rondogiannis & William W. Wadge - 2008 - Annals of Pure and Applied Logic 151 (2-3):70-88.
    We present an infinite-game characterization of the well-founded semantics for function-free logic programs with negation. Our game is a simple generalization of the standard game for negation-less logic programs introduced by van Emden [M.H. van Emden, Quantitative deduction and its fixpoint theory, Journal of Logic Programming 3 37–53] in which two players, the Believer and the Doubter, compete by trying to prove a query. The standard game is equivalent to the minimum Herbrand model semantics of logic programming in the sense (...)
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  • Uniform semantic treatment of default and autoepistemic logics.Marc Denecker, Victor W. Marek & Mirosław Truszczyński - 2003 - Artificial Intelligence 143 (1):79-122.
  • Inductive situation calculus.Marc Denecker & Eugenia Ternovska - 2007 - Artificial Intelligence 171 (5-6):332-360.
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  • Safe inductions and their applications in knowledge representation.Bart Bogaerts, Joost Vennekens & Marc Denecker - 2018 - Artificial Intelligence 259 (C):167-185.
  • Fixpoint semantics for active integrity constraints.Bart Bogaerts & Luís Cruz-Filipe - 2018 - Artificial Intelligence 255 (C):43-70.
  • Grounded fixpoints and their applications in knowledge representation.Bart Bogaerts, Joost Vennekens & Marc Denecker - 2015 - Artificial Intelligence 224 (C):51-71.
  • Fixed point semantics for stream reasoning.Christian Antić - 2020 - Artificial Intelligence 288 (C):103370.
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  • An encompassing framework for Paraconsistent Logic Programs.João Alcântara, Carlos Viegas Damásio & Luís Moniz Pereira - 2005 - Journal of Applied Logic 3 (1):67-95.
  • A Computational Learning Semantics for Inductive Empirical Knowledge.Kevin T. Kelly - 2014 - In Alexandru Baltag & Sonja Smets (eds.), Johan van Benthem on Logic and Information Dynamics. Springer International Publishing. pp. 289-337.
    This chapter presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a learner who processes new inputs through time and who forms new beliefs from those inputs by means of a concrete, computable learning program. The agent’s belief state is represented hyper-intensionally as a set of time-indexed sentences. Knowledge is interpreted as avoidance of error in the limit and as having converged to true belief from the present time onward. Familiar topics are re-examined within (...)
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