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  1. Relating logics of justification and evidence.Igor Sedlár - 2014 - In Punčochář Vít & Dančák Michal (eds.), The Logica Yearbook 2013. College Publications. pp. 207-222.
    The paper relates evidence and justification logics, both philosophically and technically. On the philosophical side, it is suggested that the difference between the approaches to evidence in the two families of logics can be explained as a result of their focusing on two different notions of support provided by evidence. On the technical side, a justification logic with operators pertaining to both kinds of support is shown to be sound and complete with respect to a special class of awareness models. (...)
     
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  • Quantifier-free epistemic term-modal logic with assignment operator.Yanjing Wang, Yu Wei & Jeremy Seligman - 2022 - Annals of Pure and Applied Logic 173 (3):103071.
  • Only knowing with degrees of confidence.Arild Waaler, Johan W. Klüwer, Tore Langholm & Espen H. Lian - 2007 - Journal of Applied Logic 5 (3):492-518.
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  • A First-Order Expansion of Artemov and Protopopescu’s Intuitionistic Epistemic Logic.Youan Su & Katsuhiko Sano - 2023 - Studia Logica 111 (4):615-652.
    Intuitionistic epistemic logic by Artemov and Protopopescu (Rev Symb Log 9:266–298, 2016) accepts the axiom “if A, then A is known” (written $$A \supset K A$$ ) in terms of the Brouwer–Heyting–Kolmogorov interpretation. There are two variants of intuitionistic epistemic logic: one with the axiom “ $$KA \supset \lnot \lnot A$$ ” and one without it. The former is called $$\textbf{IEL}$$, and the latter is called $$\textbf{IEL}^{-}$$. The aim of this paper is to study first-order expansions (with equality and function (...)
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  • Epistemic Logics with Quantification Over Epistemic Operators: Decidability and Expressiveness.Gennady Shtakser - 2023 - Logica Universalis 17 (3):297-330.
    The optimal balance between decidability and expressiveness is a big problem of logical systems, in particular, of quantified epistemic logics (QELs). On the one hand, decidability is a very significant characteristic of logics that allows us to use such logics in the framework of artificial intelligence. On the other hand, QELs have important expressive capabilities that should not be lost when we construct decidable fragments of these logics. QELs are known to be much more expressive than first-order logics. One important (...)
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  • Propositional Epistemic Logics with Quantification Over Agents of Knowledge.Gennady Shtakser - 2018 - Studia Logica 106 (2):311-344.
    The paper presents a family of propositional epistemic logics such that languages of these logics are extended by quantification over modal operators or over agents of knowledge and extended by predicate symbols that take modal operators as arguments. Denote this family by \}\). There exist epistemic logics whose languages have the above mentioned properties :311–350, 1995; Lomuscio and Colombetti in Proceedings of ATAL 1996. Lecture Notes in Computer Science, vol 1193, pp 71–85, 1996). But these logics are obtained from first-order (...)
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  • Propositional Epistemic Logics with Quantification Over Agents of Knowledge (An Alternative Approach).Gennady Shtakser - 2019 - Studia Logica 107 (4):753-780.
    In the previous paper with a similar title :311–344, 2018), we presented a family of propositional epistemic logics whose languages are extended by two ingredients: by quantification over modal operators or over agents of knowledge and by predicate symbols that take modal operators as arguments. We denoted this family by \}\). The family \}\) is defined on the basis of a decidable higher-order generalization of the loosely guarded fragment of first-order logic. And since HO-LGF is decidable, we obtain the decidability (...)
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  • Doxastic logic: a new approach.Daniel Rönnedal - 2018 - Journal of Applied Non-Classical Logics 28 (4):313-347.
    In this paper, I develop a new set of doxastic logical systems and I show how they can be used to solve several well-known problems in doxastic logic, for example the so-called problem of logical omniscience. According to this puzzle, the notions of knowledge and belief that are used in ordinary epistemic and doxastic symbolic systems are too idealised. Hence, those systems cannot be used to model ordinary human or human-like agents' beliefs. At best, they can describe idealised individuals. The (...)
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  • The Monodic Fragment of Propositional Term Modal Logic.Anantha Padmanabha & R. Ramanujam - 2019 - Studia Logica 107 (3):533-557.
    We study term modal logics, where modalities can be indexed by variables that can be quantified over. We suggest that these logics are appropriate for reasoning about systems of unboundedly many reasoners and define a notion of bisimulation which preserves propositional fragment of term modal logics. Also we show that the propositional fragment is already undecidable but that its monodic fragment is decidable, and expressive enough to include interesting assertions.
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  • Dynamic term-modal logics for first-order epistemic planning.Andrés Occhipinti Liberman, Andreas Achen & Rasmus Kræmmer Rendsvig - 2020 - Artificial Intelligence 286:103305.
  • Free Quantified Epistemic Logics.Giovanna Corsi & Eugenio Orlandelli - 2013 - Studia Logica 101 (6):1159-1183.
    The paper presents an epistemic logic with quantification over agents of knowledge and with a syntactical distinction between de re and de dicto occurrences of terms. Knowledge de dicto is characterized as ‘knowledge that’, and knowlegde de re as ‘knowledge of’. Transition semantics turns out to be an adequate tool to account for the distinctions introduced.
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  • Dynamic Epistemic Logics of Diffusion and Prediction in Social Networks.Alexandru Baltag, Zoé Christoff, Rasmus K. Rendsvig & Sonja Smets - 2019 - Studia Logica 107 (3):489-531.
    We take a logical approach to threshold models, used to study the diffusion of opinions, new technologies, infections, or behaviors in social networks. Threshold models consist of a network graph of agents connected by a social relationship and a threshold value which regulates the diffusion process. Agents adopt a new behavior/product/opinion when the proportion of their neighbors who have already adopted it meets the threshold. Under this diffusion policy, threshold models develop dynamically towards a guaranteed fixed point. We construct a (...)
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  • Epistemic logic.Vincent Hendricks - 2008 - Stanford Encyclopedia of Philosophy.
    Epistemic logic is the logic of knowledge and belief. It provides insight into the properties of individual knowers, has provided a means to model complicated scenarios involving groups of knowers and has improved our understanding of the dynamics of inquiry.
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  • 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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