Epistemic Logic Edited by Mark Jago (Nottingham University)

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  1. Carlos E. Alchourrón (1972). The Intuitive Background of Normative Legal Discourse and its Formalization. Journal of Philosophical Logic 1 (3-4):447 - 463.
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  2. Dmitri A. Archangelsky & Mikhail A. Taitslin (1997). A Logic for Information Systems. Studia Logica 58 (1):3-16.
    A conception of an information system has been introduced by Pawlak. The study has been continued in works of Pawlak and Orlowska and in works of Vakarelov. They had proposed some basic relations and had constructed a formal system of a modal logic that describes the relations and some of their Boolean combinations. Our work is devoted to a generalization of this approach. A class of relation systems and a complete calculus construction method for these systems are proposed. As a (...)
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  3. Sergei N. Artemov (2001). Explicit Provability and Constructive Semantics. Bulletin of Symbolic Logic 7 (1):1-36.
    In 1933 Godel introduced a calculus of provability (also known as modal logic S4) and left open the question of its exact intended semantics. In this paper we give a solution to this problem. We find the logic LP of propositions and proofs and show that Godel's provability calculus is nothing but the forgetful projection of LP. This also achieves Godel's objective of defining intuitionistic propositional logic Int via classical proofs and provides a Brouwer-Heyting-Kolmogorov style provability semantics for Int which (...)
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  4. Sergei N. Artemov & Lev D. Beklemishev (1993). On Propositional Quantifiers in Provability Logic. Notre Dame Journal of Formal Logic 34 (3):401-419.
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  5. Sergei Artemov & Giorgie Dzhaparidze (1990). Finite Kripke Models and Predicate Logics of Provability. Journal of Symbolic Logic 55 (3):1090-1098.
    The paper proves a predicate version of Solovay's well-known theorem on provability interpretations of modal logic: If a closed modal predicate-logical formula R is not valid in some finite Kripke model, then there exists an arithmetical interpretation f such that $PA \nvdash fR$ . This result implies the arithmetical completeness of arithmetically correct modal predicate logics with the finite model property (including the one-variable fragments of QGL and QS). The proof was obtained by adding "the predicate part" as a specific (...)
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  6. Sergei Artemov & Rosalie Iemhoff (2007). The Basic Intuitionistic Logic of Proofs. Journal of Symbolic Logic 72 (2):439-451.
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  7. Sergei Artëmov & Franco Montagna (1994). On First-Order Theories with Provability Operator. Journal of Symbolic Logic 59 (4):1139-1153.
    In this paper the modal operator "x is provable in Peano Arithmetic" is incorporated into first-order theories. A provability extension of a theory is defined. Presburger Arithmetic of addition, Skolem Arithmetic of multiplication, and some first order theories of partial consistency statements are shown to remain decidable after natural provability extensions. It is also shown that natural provability extensions of a decidable theory may be undecidable.
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  8. Cédric Dégremont, Lena Kurzen & Jakub Szymanik (2011). On theTractability of Comparing Informational Structures. In J. van Eijck & R. Verbrugge (eds.), Proceedings of the Workshop 'Reasoning about other minds: Logical and cognitive perspectives.
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  9. Matthias Gerner (2010). The Fuzzy Logic of Socialised Attitudes in Liangshan Nuosu. Journal of Pragmatics 42 (11):3031-3046.
    Liangshan Nuosu (Tibeto-Burman: P.R. China) exhibits two cross-linguistically rare attitude particles which ascribe wishes and fears to an impersonal socialised agent serving as a speaker-hedge. Linguistic properties of these particles not covered by (Potts, 2007a) and (Potts, 2007b) features of expressive content are elaborated upon. It is proposed to analyse the Nuosu attitude operators as illocutionary force indicating devices (IFIDs, see Searle and Vanderveken, 1985) and the utterances which host them as speech acts of the expressive type. Success conditions for (...)
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  10. Nina Gierasimczuk & Jakub Szymanik (2011). Invariance Properties of Quantifiers and Multiagent Information Exchange. In M. Kanazawa (ed.), Proceedings of the 12th Meeting on Mathematics of Language, Lecture Notes in Artificial Intelligence 6878. Springer.
    The paper presents two case studies of multi-agent information exchange involving generalized quantifiers. We focus on scenarios in which agents successfully converge to knowledge on the basis of the information about the knowledge of others, so-called Muddy Children puzzle and Top Hat puzzle. We investigate the relationship between certain invariance properties of quantifiers and the successful convergence to knowledge in such situations. We generalize the scenarios to account for public announcements with arbitrary quantifiers. We show that the Muddy Children puzzle (...)
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  11. Wolfgang Lenzen (1981). Doxastic Logic and the Burge-Buridan-Paradox. Philosophical Studies 39 (1):43 - 49.
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  12. Leonard Linsky (1968). On Interpreting Doxastic Logic. Journal of Philosophy 65 (17):500-502.
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  13. Mark McBride (2009). Is Knowledge Closed Under Known Entailment? The Strange Case of Hawthorne's "Heavyweight Conjunct" (and Other Strange Cases). Theoria 75: 117-128.
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  14. Earl McLane (1979). On the Possibility of Epistemic Logic. Notre Dame Journal of Formal Logic 20 (3):559-574.
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  15. James McLelland (1976). Epistemic Logic with Identifiers. Notre Dame Journal of Formal Logic 17 (3):321-343.
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  16. Peter Milne (1993). Minimal Doxastic Logic: Probabilistic and Other Completeness Theorems. Notre Dame Journal of Formal Logic 34 (4):499-526.
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  17. Francesco Orilia (1994). Belief Representation in a Deductivist Type-Free Doxastic Logic. Minds and Machines 4 (2).
    Konolige''s technical notion of belief based on deduction structures is briefly reviewed and its usefulness for the design of artificial agents with limited representational and deductive capacities is pointed out. The design of artificial agents with more sophisticated representational and deductive capacities is then taken into account. Extended representational capacities require in the first place a solution to the intensional context problems. As an alternative to Konolige''s modal first-order language, an approach based on type-free property theory is proposed. It considers (...)
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  18. R. Z. Parks (1972). Hintikka and Sleigh on Epistemic Logic. Philosophical Studies 23 (1-2):143 - 144.
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  19. Cedric Paternotte (2011). Being Realistic About Common Knowledge: A Lewisian Approach. Synthese 183 (2):249-276.
    Defined and formalized several decades ago, widely used in philosophy and game theory, the concept of common knowledge is still considered as problematic, although not always for the right reasons. I suggest that the epistemic status of a group of human agents in a state of common knowledge has not been thoroughly analyzed. In particular, every existing account of common knowledge, whether formal or not, is either too strong to fit cognitively limited individuals, or too weak to adequately describe their (...)
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  20. Ahti Pietarinen (1999). Epistemic Logic and the Theory of Games and Decisions, M. O. L. Bacharach, L.-A. Gérard-Varet, P. Mongin and H. S. Shin. Kluwer Academic Publishers, 1998, Xxxiii + 364 Pages. Economics and Philosophy 15 (02):318-.
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  21. Nicholas Rescher & Arnold Nat (1973). On Alternatives in Epistemic Logic. Journal of Philosophical Logic 2 (1):119 - 135.
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  22. Joshua Sack (2009). Extending Probabilistic Dynamic Epistemic Logic. Synthese 169 (2):241 - 257.
    This paper aims to extend in two directions the probabilistic dynamic epistemic logic provided in Kooi’s paper (J Logic Lang Inform 12(4):381–408, 2003) and to relate these extensions to ones made in van Benthem et al. (Proceedings of LOFT’06. Liverpool, 2006). Kooi’s probabilistic dynamic epistemic logic adds to probabilistic epistemic logic sentences that express consequences of public announcements. The paper (van Benthem et al., Proceedings of LOFT’06. Liverpool, 2006) extends (Kooi, J Logic Lang Inform 12(4):381–408, 2003) to using action models, (...)
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  23. George N. Schlesinger (1984). A Theorem of Epistemic Logic. Philosophical Studies 45 (2):285 - 292.
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  24. P. K. Schotch & R. E. Jennings (1981). Epistemic Logic, Skepticism, and Non-Normal Modal Logic. Philosophical Studies 40 (1):47 - 67.
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  25. Peter K. Schotch (2000). Skepticism and Epistemic Logic. Studia Logica 66 (1):187-198.
    This essay attempts to implement epistemic logic through a non-classical inference relation. Given that relation, an account of '(the individual) a knows that A' is constructed as an unfamiliar non-normal modal logic. One advantage to this approach is a new analysis of the skeptical argument.
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  26. Krister Segerberg (2010). Some Completeness Theorems in the Dynamic Doxastic Logic of Iterated Belief Revision. Review of Symbolic Logic 3 (2):228-246.
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  27. Krister Segerberg (2006). Moore Problems in Full Dynamic Doxastic Logic. Poznan Studies in the Philosophy of the Sciences and the Humanities 91 (1):95-110.
    Dynamic doxastic logic (DDL) is the modal logic of belief change. In basic DDL a modal operator [* ϕ ] carries the informal meaning "after the agent has revised his beliefs by ϕ " or "after the agent has accepted the information that ϕ "; it is assumed that the arguments of the star operator * are pure Boolean formulae. That assumption is discarded in full DDL where any pure doxastic formula may be an argument. As noted by other authors, (...)
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  28. Krister Segerberg (1999). Default Logic as Dynamic Doxastic Logic. Erkenntnis 50 (2-3):333-352.
    Dynamic doxastic logic (DDL) is used in connexion with theories of belief revision. Here we try to show that languages of DDL are suitable also for discussing aspects of default logic. One ingredient of our analysis is a concept of coherence-as-ratifiability.
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  29. Krister Segerberg (1998). Irrevocable Belief Revision in Dynamic Doxastic Logic. Notre Dame Journal of Formal Logic 39 (3):287-306.
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  30. Arto Siitonen (1983). Belief, Knowledge and Probability. Systems of Epistemic Logic. Philosophy and History 16 (2):129-130.
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  31. Robert C. Sleigh Jr (1972). Restricted Range in Epistemic Logic. Journal of Philosophy 69 (3):67-77.
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  32. Robert C. Sleigh Jr (1968). On a Proposed System of Epistemic Logic. Noûs 2 (4):391-398.
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  33. John Symons, Epistemic Logic.
    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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  34. John Symons (2006). Where's the Bridge? Epistemology and Epistemic Logic. Philosophical Studies 128 (1):137 - 167.
    Epistemic logic begins with the recognition that our everyday talk about knowing and believing has some systematic features that we can track and reflect upon. Epistemic logicians have studied and extended these glints of systematic structure in fascinating and important ways since the early 1960s. However, for one reason or another, mainstream epistemologists have shown little interest. It is striking to contrast the marginal role of epistemic logic in contemporary epistemology with the centrality of modal logic for metaphysicians. This article (...)
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  35. Robert J. Titiev (1980). On Self-Sustenance in Systems of Epistemic Logic. Notre Dame Journal of Formal Logic 21 (3):585-590.
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  36. Johan van Benthem, Games in Dynamic-Epistemic Logic.
    We discuss games of both perfect and imperfect information at two levels of structural detail: players’ local actions, and their global powers for determining outcomes of the game. We propose matching logical languages for both. In particular, at the ‘action level’, imperfect information games naturally model a combined ‘dynamic-epistemic language’ – and we find correspondences between special axioms and particular modes of playing games with their information dynamics. At the ‘outcome level’, we present suitable notions of game equivalence, plus some (...)
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  37. Johan van Benthem, Rational Dynamics and Epistemic Logic in Games.
    Game-theoretic solution concepts describe sets of strategy profiles that are optimal for all players in some plausible sense. Such sets are often found by recursive algorithms like iterated removal of strictly dominated strategies in strategic games, or backward induction in extensive games. Standard logical analyses of solution sets use assumptions about players in fixed epistemic models for a given game, such as mutual knowledge of rationality. In this paper, we propose a different perspective, analyzing solution algorithms as processes of learning (...)
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  38. Johan van Benthem (2006). Epistemic Logic and Epistemology: The State of Their Affairs. Philosophical Studies 128 (1).
    Epistemology and epistemic logic At first sight, the modern agenda of epistemology has little to do with logic. Topics include different definitions of knowledge, its basic formal properties, debates between externalist and internalist positions, and above all: perennial encounters with sceptics lurking behind every street corner, especially in the US. The entry 'Epistemology' in the Routledge Encyclopedia of Philosophy (Klein 1993) and the anthology (Kim and Sosa 2000) give an up-to-date impression of the field. Now, epistemic logic started as a (...)
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  39. Wiebe van der Hoek & Michael Wooldridge (2003). Cooperation, Knowledge, and Time: Alternating-Time Temporal Epistemic Logic and its Applications. Studia Logica 75 (1).
    Branching-time temporal logics have proved to be an extraordinarily successful tool in the formal specification and verification of distributed systems. Much of their success stems from the tractability of the model checking problem for the branching time logic CTL, which has made it possible to implement tools that allow designers to automatically verify that systems satisfy requirements expressed in CTL. Recently, CTL was generalised by Alur, Henzinger, and Kupferman in a logic known as Alternating-time Temporal Logic (ATL). The key insight (...)
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  40. Hans van Ditmarsch & Willem Labuschagne (2007). My Beliefs About Your Beliefs: A Case Study in Theory of Mind and Epistemic Logic. Synthese 155 (2).
    We model three examples of beliefs that agents may have about other agents’ beliefs, and provide motivation for this conceptualization from the theory of mind literature. We assume a modal logical framework for modelling degrees of belief by partially ordered preference relations. In this setting, we describe that agents believe that other agents do not distinguish among their beliefs (‘no preferences’), that agents believe that the beliefs of other agents are in part as their own (‘my preferences’), and the special (...)
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  41. Jan van Eijck, Comparing Process Algebra and Dynamic Epistemic Logic with Focus on Protocol Analysis.
    Eric: “We were wondering if you could give a talk on DEL and Process Algebra (in the sense that both are languages to describe how the model changes).” Jan: “I will give it a try.”.
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Doxastic and Epistemic Logic
  1. Patrick Allo (forthcoming). The Many Faces of Closure and Introspection. Journal of Philosophical Logic:-.
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  2. Patrick Allo (2011). The Logic of 'Being Informed' Revisited and Revised. Philosophical Studies 153 (3):417-434.
    The logic of ‘being informed’ gives a formal analysis of a cognitive state that does not coincide with either belief, or knowledge. To Floridi, who first proposed the formal analysis, the latter is supported by the fact that unlike knowledge or belief, being informed is a factive, but not a reflective state. This paper takes a closer look at the formal analysis itself, provides a pure and an applied semantics for the logic of being informed, and tries to find out (...)
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  3. Patrick Allo (2009). Reasoning About Data and Information. Synthese 167 (2):231-249.
    Cognitive states as well as cognitive commodities play central though distinct roles in our epistemological theories. By being attentive to how a difference in their roles affects our way of referring to them, we can undoubtedly accrue our understanding of the structure and functioning of our main epistemological theories. In this paper we propose an analysis of the dichotomy between states and commodities in terms of the method of abstraction, and more specifically by means of infomorphisms between different ways to (...)
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  4. Patrick Allo (2008). Formalising the 'No Information Without Data-Representation' Principle. In P. Brey, A. Briggle & K. Waelbers (eds.), Current Issues in Computing and Philosophy. IOS Press.
    One of the basic principles of the general definition of information is its rejection of dataless information, which is reflected in its endorsement of an ontological neutrality. In general, this principles states that “there can be no information without physical implementation” (Floridi (2005)). Though this is standardly considered a commonsensical assumption, many questions arise with regard to its generalised application. In this paper a combined logic for data and information is elaborated, and specifically used to investigate the consequences of restricted (...)
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  5. Patrick Allo (2008). Vincent Hendricks, Mainstream and Formal Epistemology. [REVIEW] Erkenntnis 69 (3):427-432.
    As Vincent Hendricks remarks early on in this book, the formal and mainstream traditions of epistemic theorising have mostly evolved independently of each other. This initial impression is confirmed by a comparison of the main problems and methods practitioners in each tradition are concerned with. Mainstream epistemol- ogy engages in a dialectical game of proposing and challenging definitions of knowledge. Formal epistemologists proceed differently, as they design a wide variety of axiomatic and model-theoretic methods whose consequences they investigate independently of (...)
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  6. Giambattista Amati, Luigia Carlucci-Aiello & Fiora Pirri (1997). Intuitionistic Autoepistemic Logic. Studia Logica 59 (1):103-120.
    In this paper we address the problem of combining a logic with nonmonotonic modal logic. In particular we study the intuitionistic case. We start from a formal analysis of the notion of intuitionistic consistency via the sequent calculus. The epistemic operator M is interpreted as the consistency operator of intuitionistic logic by introducing intuitionistic stable sets. On the basis of a bimodal structure we also provide a semantics for intuitionistic stable sets.
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  7. C. Anthony Anderson (1993). Toward a Logic of A Priori Knowledge. Philosophical Topics 21 (2):1-20.
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  8. Lennart Aqvist (1971). Revised Foundations for Imperative-Epistemic and Interrogative Logic. Theoria 37 (1):33-73.
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  9. Horacio Arló-Costa & Cristina Bicchieri (2007). Knowing and Supposing in Games of Perfect Information. Studia Logica 86 (3):353 - 373.
    The paper provides a framework for representing belief-contravening hypotheses in games of perfect information. The resulting t-extended information structures are used to encode the notion that a player has the disposition to behave rationally at a node. We show that there are models where the condition of all players possessing this disposition at all nodes (under their control) is both a necessary and a sufficient for them to play the backward induction solution in centipede games. To obtain this result, we (...)
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  10. Sergei Artemov (forthcoming). Justification Logic. Stanford Encyclopedia of Philosophy.
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  11. Sergei Artemov (2008). The Logic of Justification. Review of Symbolic Logic 1 (4):477-513.
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  12. Guillaume Aucher (2010). An Internal Version of Epistemic Logic. Studia Logica 94 (1).
    Representing an epistemic situation involving several agents obviously depends on the modeling point of view one takes. We start by identifying the types of modeling points of view which are logically possible. We call the one traditionally followed by epistemic logic the perfect external approach, because there the modeler is assumed to be an omniscient and external observer of the epistemic situation. In the rest of the paper we focus on what we call the internal approach, where the modeler is (...)
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  13. Philippe Balbiani, Alexandru Baltag, Hans van Ditmarsch, Andreas Herzig, Tomohiro Hoshi & Tiago de Lima (2008). Knowable' as 'Known After an Announcement. Review of Symbolic Logic 1 (3):305-334.
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  14. H. Battaly (2008). Review: Nicholas Rescher: Cognitive Harmony: The Role of Systematic Harmony in the Constitution of Knowledge; Epistemic Logic: A Survey of the Logic of Knowledge; and Realism and Pragmatic Epistemology. Mind 117 (465):205-210.
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  15. Ivan Boh (2000). Four Phases of Medieval Epistemic Logic. Theoria 66 (2):129-144.
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  16. Ivan Boh (1993). Epistemic Logic in the Later Middle Ages. Routledge.
    Epistemic logic is one of the most exciting areas in medieval philosophy. Neglected almost entirely after the end of the Middle Ages, it has been rediscovered by philosophers of the twentieth century. Epistemic Logic in the Later Middle Ages provides the first comprehensive study of the subject. Ivan Boh explores the contrast between epistemic and alethic conceptions of consequence, the general epistemic rules of consequence, the search for conditions of knowing contingent propositions, the problems of substitutivity in intentional contexts, the (...)
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  17. Berit Brogaard & Joe Salerno, Fitch's Paradox of Knowability. The Stanford Encyclopedia of Philosophy.
    The paradox of knowability is a logical result suggesting that, necessarily, if all truths are knowable in principle then all truths are in fact known. The contrapositive of the result says, necessarily, if in fact there is an unknown truth, then there is a truth that couldn't possibly be known. More specifically, if p is a truth that is never known then it is unknowable that p is a truth that is never known. The proof has been used to argue (...)
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  18. Berit Brogaard & Joe Salerno (2006). Knowability and a Modal Closure Principle. American Philosophical Quarterly 43 (3):261-270..
    Does a factive conception of knowability figure in ordinary use? There is some reason to think so. ‘Knowable’ and related terms such as ‘discoverable’, ‘observable’, and ‘verifiable’ all seem to operate factively in ordinary discourse. Consider the following example, a dialog between colleagues A and B: A: We could be discovered. B: Discovered doing what? A: Someone might discover that we're having an affair. B: But we are not having an affair! A: I didn’t say that we were. A’s remarks (...)
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  19. Michael E. Byrd (1973). Knowledge and True Belief in Hintikka's Epistemic Logic. Journal of Philosophical Logic 2 (2):181 - 192.
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  20. Lauri Carlson (1988). Quantified Hintikka-Style Epistemic Logic. Synthese 74 (2):223 - 262.
    This paper contains a formal treatment of the system of quantified epistemic logic sketched in Appendix II of Carlson (1983). Section 1 defines the syntax and recapitulates the model set rules and principles of the Appendix system. Section 2 defines a possible worlds semantics for this system, and shows that the Appendix system is complete with respect to this semantics. Section 3 extends the system by an explicit truth operatorT it is true that and considers quantification over nonexistent individuals. Section (...)
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  21. John M. Collins (2002). Ryan on Epistemic Closure Principles. Philosophia 29 (1-4):371-376.
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  22. Boudewijn de Bruin (2009). The Logic of Valuing. In Thomas Boylan & Ruvin Gekker (eds.), Economics, Rational Choice and Normative Philosophy. Routledge.
    This paper analyzes the logical form of valuing. I argue that valuing a concept or property is a universal statement qua logical form, that valuing an object is an existential statement qua logical form, and, furthermore, that a correct analysis of the logical form of valuing contains doxastic operators. I show that these ingredients give rise to an interesting interplay between uniform and ununiform quantification, on the one hand, and de dicto and de re beliefs, on the other. I apply (...)
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  23. Boudewijn de Bruin (2008). Common Knowledge of Payoff Uncertainty in Games. Synthese 163 (1):79-97.
    Using epistemic logic, we provide a non-probabilistic way to formalise payoff uncertainty, that is, statements such as ‘player i has approximate knowledge about the utility functions of player j.’ We show that on the basis of this formalisation common knowledge of payoff uncertainty and rationality (in the sense of excluding weakly dominated strategies, due to Dekel and Fudenberg (1990)) characterises a new solution concept we have called ‘mixed iterated strict weak dominance.’.
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  24. Boudewijn de Bruin (2008). Common Knowledge of Rationality in Extensive Games. Notre Dame Journal of Formal Logic 49 (3):261-280.
    We develop a logical system that captures two different interpretations of what extensive games model, and we apply this to a long-standing debate in game theory between those who defend the claim that common knowledge of rationality leads to backward induction or subgame perfect (Nash) equilibria and those who reject this claim. We show that a defense of the claim à la Aumann (1995) rests on a conception of extensive game playing as a one-shot event in combination with a principle (...)
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  25. Boudewijn de Bruin (2008). Epistemic Logic and Epistemology. In Vincent F. Hendricks & Duncan Pritchard (eds.), New Waves in Epistemology. Palgrave Macmillan.
    This paper contributes to an increasing literature strengthening the connection between epistemic logic and epistemology (Van Benthem, Hendricks). I give a survey of the most important applications of epistemic logic in epistemology. I show how it is used in the history of philosophy (Steiner's reconstruction of Descartes' sceptical argument), in solutions to Moore's paradox (Hintikka), in discussions about the relation between knowledge and belief (Lenzen) and in an alleged refutation of verificationism (Fitch) and I examine an early argument about the (...)
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  26. Cédric Dégremont & Nina Gierasimczuk (2011). Finite Identification From the Viewpoint of Epistemic Update. Information And Computation 209 (3):383-396.
    Formal learning theory constitutes an attempt to describe and explain the phenomenon of learning, in particular of language acquisition. The considerations in this domain are also applicable in philosophy of science, where it can be interpreted as a description of the process of scientific inquiry. The theory focuses on various properties of the process of hypothesis change over time. Treating conjectures as informational states, we link the process of conjecture-change to epistemic update. We reconstruct and analyze the temporal aspect of (...)
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  27. Max Deutscher (1969). Hintikka's Conception of Epistemic Logic. Australasian Journal of Philosophy 47 (2):205 – 208.
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  28. Paul Égré & Denis Bonnay (2010). Vagueness, Uncertainty and Degrees of Clarity. Synthese 174 (1).
    In this paper we compare different models of vagueness viewed as a specific form of subjective uncertainty in situations of imperfect discrimination. Our focus is on the logic of the operator “clearly” and on the problem of higher-order vagueness. We first examine the consequences of the notion of intransitivity of indiscriminability for higher-order vagueness, and compare several accounts of vagueness as inexact or imprecise knowledge, namely Williamson’s margin for error semantics, Halpern’s two-dimensional semantics, and the system we call Centered semantics. (...)
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  29. Joeri Engelfriet (1996). Minimal Temporal Epistemic Logic. Notre Dame Journal of Formal Logic 37 (2):233-259.
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  30. Joeri Engelfriet, Catholijn M. Jonker & Jan Treur (2002). Compositional Verification of Multi-Agent Systems in Temporal Multi-Epistemic Logic. Journal of Logic, Language and Information 11 (2):195-225.
    Compositional verification aims at managing the complexity of theverification process by exploiting compositionality of the systemarchitecture. In this paper we explore the use of a temporal epistemiclogic to formalize the process of verification of compositionalmulti-agent systems. The specification of a system, its properties andtheir proofs are of a compositional nature, and are formalized within acompositional temporal logic: Temporal Multi-Epistemic Logic. It isshown that compositional proofs are valid under certain conditions.Moreover, the possibility of incorporating default persistence ofinformation in a system, is (...)
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  31. Joeri Engelfriet & Jan Treur (1998). An Interpretation of Default Logic in Minimal Temporal Epistemic Logic. Journal of Logic, Language and Information 7 (3):369-388.
    When reasoning about complex domains, where information available is usually only partial, nonmonotonic reasoning can be an important tool. One of the formalisms introduced in this area is Reiter's Default Logic (1980). A characteristic of this formalism is that the applicability of default (inference) rules can only be verified in the future of the reasoning process. We describe an interpretation of default logic in temporal epistemic logic which makes this characteristic explicit. It is shown that this interpretation yields a semantics (...)
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  32. Melvin Fitting, Justification Logics, Logics of Knowledge, and Conservativity.
    Several justification logics have been created, starting with the logic LP, [1]. These can be thought of as explicit versions of modal logics, or of logics of knowledge or belief, in which the unanalyzed necessity (knowledge, belief) operator has been replaced with a family of explicit justification terms. We begin by sketching the basics of justification logics and their relations with modal logics. Then we move to new material. Modal logics come in various strengths. For their corresponding justification logics, differing (...)
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  33. J. Gerbrandy (2007). The Surprise Examination in Dynamic Epistemic Logic. Synthese 155 (1):21 - 33.
    We examine the paradox of the surprise examination using dynamic epistemic logic. This logic contains means of expressing epistemic facts as well as the effects of learning new facts, and is therefore a natural framework for representing the puzzle. We discuss a number of different interpretations of the puzzle in this context, and show how the failure of principle of success, that states that sentences, when learned, remain to be true and come to be believed, plays a central role in (...)
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  34. Nina Gierasimczuk (2009). Bridging Learning Theory and Dynamic Epistemic Logic. Synthese 169 (2):371-384.
    This paper discusses the possibility of modelling inductive inference (Gold 1967) in dynamic epistemic logic (see e.g. van Ditmarsch et al. 2007). The general purpose is to propose a semantic basis for designing a modal logic for learning in the limit. First, we analyze a variety of epistemological notions involved in identification in the limit and match it with traditional epistemic and doxastic logic approaches. Then, we provide a comparison of learning by erasing (Lange et al. 1996) and iterated epistemic (...)
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  35. Nina Gierasimczuk & Jakub Szymanik (2011). A Note on a Generalization of the Muddy Children Puzzle. In K. Apt (ed.), Proceeding of the 13th Conference on Theoretical Aspects of Rationality and Knowledge. ACM.
    We study a generalization of the Muddy Children puzzle by allowing public announcements with arbitrary generalized quantifiers. We propose a new concise logical modeling of the puzzle based on the number triangle representation of quantifi ers. Our general aim is to discuss the possibility of epistemic modeling that is cut for specifi c informational dynamics. Moreover, we show that the puzzle is solvable for any number of agents if and only if the quanti fier in the announcement is positively active (...)
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  36. James Hawthorne (2009). The Lockean Thesis and the Logic of Belief. In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of Belief. Synthese Library: Springer.
    In a penetrating investigation of the relationship between belief and quantitative degrees of confidence (or degrees of belief) Richard Foley (1992) suggests the following thesis: ... it is epistemically rational for us to believe a proposition just in case it is epistemically rational for us to have a sufficiently high degree of confidence in it, sufficiently high to make our attitude towards it one of belief. Foley goes on to suggest that rational belief may be just rational degree of confidence (...)
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  37. James Hawthorne & Luc Bovens (1999). The Preface, the Lottery, and the Logic of Belief. Mind 108 (430):241-264.
    John Locke proposed a straightforward relationship between qualitative and quantitative doxastic notions: belief corresponds to a sufficiently high degree of confidence. Richard Foley has further developed this Lockean thesis and applied it to an analysis of the preface and lottery paradoxes. Following Foley's lead, we exploit various versions of these paradoxes to chart a precise relationship between belief and probabilistic degrees of confidence. The resolutions of these paradoxes emphasize distinct but complementary features of coherent belief. These features suggest principles that (...)
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  38. Vincent Hendricks, Epistemic Logic. 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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  39. Vincent Hendricks (2008). New Waves in Epistemology. Palgrave Macmillan.
    This book provides a valuable look at the work of up and coming epistemologists. The topics covered range from the central issues of mainstream epistemology to the more formal issues in epistemic logic and confirmation theory. This book should be read by anyone interested in seeing where epistemology is currently focused and where it is heading. - Stewart Cohen , Arizona State University..
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  40. Vincent F. Hendricks & John Symons (2006). Where's the Bridge? Epistemology and Epistemic Logic. Philosophical Studies 128 (1):137 - 167.
    Epistemic logic begins with the recognition that our everyday talk about knowing and believing has some systematic features that we can track and re‡ect upon. Epistemic logicians have studied and extended these glints of systematic structure in fascinating and important ways since the early 1960s. However, for one reason or another, mainstream epistemologists have shown little interest. It is striking to contrast the marginal role of epistemic logic in contemporary epistemology with the centrality of modal logic for metaphysicians. This article (...)
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  41. Jaakko Hintikka (2001). Intuitionistic Logic as Epistemic Logic. Synthese 127 (1-2):7 - 19.
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  42. Jaakko Hintikka (1990). The Cartesian Cogito, Epistemic Logic and Neuroscience: Some Surprising Interrelations. Synthese 83 (1):133 - 157.
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  43. Jaakko Hintikka (1968). Epistemic Logic and the Methods of Philosophical Analysis. Australasian Journal of Philosophy 46 (1):37 – 51.
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  44. Jaakko Hintikka (1967). Individuals, Possible Worlds, and Epistemic Logic. Noûs 1 (1):33-62.
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  45. Jaakko Hintikka (1966). “Knowing Oneself” and Other Problems in Epistemic Logic. Theoria 32 (1):1-13.
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  46. Jaakko Hintikka & John Symons (2003). Systems of Visual Identification in Neuroscience: Lessons From Epistemic Logic. Philosophy of Science 70 (1):89-104.
    The following analysis shows how developments in epistemic logic can play a nontrivial role in cognitive neuroscience. We argue that the striking correspondence between two modes of identification, as distinguished in the epistemic context, and two cognitive systems distinguished by neuroscientific investigation of the visual system (the "where" and "what" systems) is not coincidental, and that it can play a clarificatory role at the most fundamental levels of neuroscientific theory.
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  47. Max O. Hocutt (1972). Is Epistemic Logic Possible? Notre Dame Journal of Formal Logic 13 (4):433-453.
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  48. Tomohiro Hoshi & Audrey Yap (2009). Dynamic Epistemic Logic with Branching Temporal Structures. Synthese 169 (2):259 - 281.
    van Bentham et al. (Merging frameworks for interaction: DEL and ETL, 2007) provides a framework for generating the models of Epistemic Temporal Logic ( ETL : Fagin et al., Reasoning about knowledge, 1995; Parikh and Ramanujam, Journal of Logic, Language, and Information, 2003) from the models of Dynamic Epistemic Logic ( DEL : Baltag et al., in: Gilboa (ed.) Tark 1998, 1998; Gerbrandy, Bisimulations on Planet Kripke, 1999). We consider the logic TDEL on the merged semantic framework, and its extension (...)
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  49. Franz Huber & Christoph Schmidt-Petri (2009). Degrees of Belief. Springer.
    Various theories try to give accounts of how measures of this confidence do or ought to behave, both as far as the internal mental consistency of the agent as ...
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  50. R. A. Imlay (1969). Chisholm's Epistemic Logic. Philosophy and Phenomenological Research 30 (2):290-293.
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  51. David Israel & John Perry (1996). Where Monsters Dwell. In Jerry Seligman & Dag Westerståhl (eds.), Logic, Language and Computation. Csli Publications, Stanford.
    Kaplan says that monsters violate Principle 2 of his theory. Principle 2 is that indexicals, pure and demonstrative alike, are directly referential. In providing this explanation of there being no monsters, Kaplan feels his theory has an advantage over double-indexing theories like Kamp’s or Segerberg’s (or Stalnaker’s), which either embrace monsters or avoid them only by ad hoc stipulation, in the sharp conceptual distinction it draws between circumstances of evaluation and contexts of utterance. We shall argue that Kaplan’s prohibition is (...)
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  52. Mark Jago (forthcoming). The Content of Deduction. Journal of Philosophical Logic:-.
    For deductive reasoning to be justified, it must be guaranteed to preserve truth from premises to conclusion; and for it to be useful to us, it must be capable of informing us of something. How can we capture this notion of information content, whilst respecting the fact that the content of the premises, if true, already secures the truth of the conclusion? This is the problem I address here. I begin by considering and rejecting several accounts of informational content. I (...)
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  53. Mark Jago (2009). Epistemic Logic for Rule-Based Agents. Journal of Logic, Language and Information 18 (1).
    The logical omniscience problem, whereby standard models of epistemic logic treat an agent as believing all consequences of its beliefs and knowing whatever follows from what else it knows, has received plenty of attention in the literature. But many attempted solutions focus on a fairly narrow specification of the problem: avoiding the closure of belief or knowledge, rather than showing how the proposed logic is of philosophical interest or of use in computer science or artificial intelligence. Sentential epistemic logics, as (...)
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  54. Mark Jago (2006). Imagine the Possibilities: Information Without Overload. Logique Et Analyse 49 (196):345–371.
    Information is often modelled as a set of relevant possibilities, treated as logically possible worlds. However, this has the unintuitive consequence that the logical consequences of an agent's information cannot be informative for that agent. There are many scenarios in which such consequences are clearly informative for the agent in question. Attempts to weaken the logic underlying each possible world are misguided. Instead, I provide a genuinely psychological notion of epistemic possibility and show how it can be captured in a (...)
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  55. Mark Jago, Rule-Based and Resource-Bounded: A New Look at Epistemic Logic.
    Syntactic logics do not suffer from the problems of logical omniscience but are often thought to lack interesting properties relating to epistemic notions. By focusing on the case of rule-based agents, I develop a framework for modelling resource-bounded agents and show that the resulting models have a number of interesting properties.
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  56. Yue J. Jiang (1993). An Intensional Epistemic Logic. Studia Logica 52 (2):259 - 280.
    One of the fundamental properties inclassical equational reasoning isLeibniz's principle of substitution. Unfortunately, this propertydoes not hold instandard epistemic logic. Furthermore,Herbrand's lifting theorem which isessential to thecompleteness ofresolution andParamodulation in theclassical first order logic (FOL), turns out to be invalid in standard epistemic logic. In particular, unlike classical logic, there is no skolemization normal form for standard epistemic logic. To solve these problems, we introduce anintensional epistemic logic, based on avariation of Kripke's possible-worlds semantics that need not have a constant (...)
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  57. M. Kacprzak & W. Penczek (2004). A Sat-Based Approach to Unbounded Model Checking for Alternating-Time Temporal Epistemic Logic. Synthese 142 (2):203 - 227.
    This paper deals with the problem of verification of game-like structures by means of symbolic model checking. Alternating-time Temporal Epistemic Logic (ATEL) is used for expressing properties of multi-agent systems represented by alternating epistemic temporal systems as well as concurrent epistemic game structures. Unbounded model checking (a SAT based technique) is applied for the first time to verification of ATEL. An example is given to show an application of the technique.
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  58. Barteld P. Kooi (2003). Probabilistic Dynamic Epistemic Logic. Journal of Logic, Language and Information 12 (4):381-408.
    In this paper I combine the dynamic epistemic logic ofGerbrandy (1999) with the probabilistic logic of Fagin and Halpern (1994). The resultis a new probabilistic dynamic epistemic logic, a logic for reasoning aboutprobability, information, and information change that takes higher orderinformation into account. Probabilistic epistemic models are defined, and away to build them for applications is given. Semantics and a proof systemis presented and a number of examples are discussed, including the MontyHall Dilemma.
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  59. Srećko Kovač (2009). First-Order Belief and Paraconsistency. Logic and Logical Philosophy 18 (2):127-143.
    A first-order logic of belief with identity is proposed, primarily to give an account of possible de re contradictory beliefs, which sometimes occur as consequences of de dicto non-contradictory beliefs. A model has two separate, though interconnected domains: the domain of objects and the domain of appearances. The satisfaction of atomic formulas is defined by a particular S-accessibility relation between worlds. Identity is non-classical, and is conceived as an equivalence relation having the classical identity relation as a subset. A tableau (...)
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