Results for 'Verification (Logic) '

354 found
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  1.  16
    Verification logic: An arithmetical interpretation for negative introspection.Juan Pablo Aguilera & David Fernández-Duque - 2016 - In Lev Beklemishev, Stéphane Demri & András Máté (eds.), Advances in Modal Logic, Volume 11. CSLI Publications. pp. 1-20.
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  2. Roland fraïssé.Et Sa Vérification Dans Certaines - 1968 - In Jean-Louis Destouches & Evert Willem Beth (eds.), Logic and foundations of science. Dordrecht,: D. Reidel.
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  3.  49
    Compositional verification of multi-agent systems in temporal multi-epistemic logic.Joeri Engelfriet, Catholijn M. Jonker & Jan Treur - 2002 - 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 (...)
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  4.  7
    The logic of God; theology and verification.Malcolm Luria Diamond - 1975 - Indianapolis,: Bobbs-Merrill. Edited by Thomas V. Litzenburg.
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  5.  26
    Verification and Strategy Synthesis for Coalition Announcement Logic.Natasha Alechina, Hans van Ditmarsch, Rustam Galimullin & Tuo Wang - 2021 - Journal of Logic, Language and Information 30 (4):671-700.
    Coalition announcement logic is one of the family of the logics of quantified announcements. It allows us to reason about what a coalition of agents can achieve by making announcements in the setting where the anti-coalition may have an announcement of their own to preclude the former from reaching its epistemic goals. In this paper, we describe a PSPACE-complete model checking algorithm for CAL that produces winning strategies for coalitions. The algorithm is implemented in a proof-of-concept model checker.
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  6.  61
    Verification, falsification, and the logic of enquiry.Peter Milne - 1991 - Erkenntnis 34 (1):23 - 54.
    Our starting point is Michael Luntley's falsificationist semantics for the logical connectives and quantifiers: the details of his account are criticised but we provide an alternative falsificationist semantics that yields intuitionist logic, as Luntley surmises such a semantics ought. Next an account of the logical connectives and quantifiers that combines verificationist and falsificationist perspectives is proposed and evaluated. While the logic is again intuitionist there is, somewhat surprisingly, an unavoidable asymmetry between the verification and falsification conditions for (...)
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  7. Program verification within and without logic.Hajnal Andreka, Istvan Nemeti & Ildiko Sain - 1979 - Bulletin of the Section of Logic 8 (3):124-128.
    Theorem 1 states a negative result about the classical semantics j= ! of program schemes. Theorem 2 investigates the reason for this. We conclude that Theorem 2 justies the Henkin-type semantics j= for which the opposite of the present Theorem 1 was proved in [1]{[3] and also in a dierent form in part III of [5]. The strongest positive result on j= is Corollary 6 in [3].
     
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  8.  13
    Logic-Based Agent Verification.Michael Fisher, Munindar Singh, Diana Spears & Mike Wooldridge - 2007 - Journal of Applied Logic 5 (2):193-195.
  9. Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences.Naomi Oreskes, Kristin Shrader-Frechette & Kenneth Belitz - 1994 - Science 263 (5147):641-646.
    Verification and validation of numerical models of natural systems is impossible. This is because natural systems are never closed and because model results are always nonunique. Models can be confirmed by the demonstration of agreement between observation and prediction, but confirmation is inherently partial. Complete confirmation is logically precluded by the fallacy of affirming the consequent and by incomplete access to natural phenomena. Models can only be evaluated in relative terms, and their predictive value is always open to question. (...)
     
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  10.  11
    Verification of multi-agent systems with public actions against strategy logic.Francesco Belardinelli, Alessio Lomuscio, Aniello Murano & Sasha Rubin - 2020 - Artificial Intelligence 285 (C):103302.
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  11.  17
    Formal Verification of Security Proofs of Cryptographic Schemes Using Probabilistic Hoare Logic.Takahiro Kubota - 2012 - Kagaku Tetsugaku 45 (2):15-27.
  12.  26
    Timed Modal Logics for Real-Time Systems: Specification, Verification and Control.Patricia Bouyer, Franck Cassez & François Laroussinie - 2011 - Journal of Logic, Language and Information 20 (2):169-203.
    In this paper, a timed modal logic L c is presented for the specification and verification of real-time systems. Several important results for L c are discussed. First we address the model checking problem and we show that it is an EXPTIME-complete problem. Secondly we consider expressiveness and we explain how to express strong timed bisimilarity and how to build characteristic formulas for timed automata. We also propose a compositional algorithm for L c model checking. Finally we consider (...)
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  13.  7
    Runtime verification using the temporal description logic ALC-LTL revisited.Franz Baader & Marcel Lippmann - 2014 - Journal of Applied Logic 12 (4):584-613.
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  14. Program verification: the very idea.James H. Fetzer - 1988 - Communications of the Acm 31 (9):1048--1063.
    The notion of program verification appears to trade upon an equivocation. Algorithms, as logical structures, are appropriate subjects for deductive verification. Programs, as causal models of those structures, are not. The success of program verification as a generally applicable and completely reliable method for guaranteeing program performance is not even a theoretical possibility.
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  15. SOCIAL VERIFICATION – HUMAN DIMENSONS OF THEORETICAL SCIENCE AND HIGH-TECH (CASUS BIOETHICS). Part One.Valentin Cheshko & Yulia Kosova - 2011 - Practical Philosophy 1:94-100.
    The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system of (...)
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  16.  11
    A multiple-valued logic approach to the design and verification of hardware circuits.Amnon Rosenmann - 2016 - Journal of Applied Logic 15:69-93.
  17.  13
    Using temporal logics of knowledge for specification and verification—a case study.Clare Dixon - 2006 - Journal of Applied Logic 4 (1):50-78.
  18. SOCIAL VERIFICATION – HUMAN DIMENSONS OF THEORETICAL SCIENCE AND HIGH-TECH (CASUS BIOETHICS). Part Three. DYNAMICS OF GROWTH OF NEW KNOWLEDGE IN POSTACADEMICAL SCIENCE.Valentin Cheshko & Yulia Kosova - 2012 - Practical Philosophy 1:59-69.
    The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system of (...)
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  19.  33
    Proof verification and proof discovery for relativity.Naveen Sundar Govindarajalulu, Selmer Bringsjord & Joshua Taylor - 2015 - Synthese 192 (7):2077-2094.
    The vision of machines autonomously carrying out substantive conjecture generation, theorem discovery, proof discovery, and proof verification in mathematics and the natural sciences has a long history that reaches back before the development of automatic systems designed for such processes. While there has been considerable progress in proof verification in the formal sciences, for instance the Mizar project’ and the four-color theorem, now machine verified, there has been scant such work carried out in the realm of the natural (...)
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  20.  24
    Progression and Verification of Situation Calculus Agents with Bounded Beliefs.Giuseppe De Giacomo, Yves Lespérance, Fabio Patrizi & Stavros Vassos - 2016 - Studia Logica 104 (4):705-739.
    We investigate agents that have incomplete information and make decisions based on their beliefs expressed as situation calculus bounded action theories. Such theories have an infinite object domain, but the number of objects that belong to fluents at each time point is bounded by a given constant. Recently, it has been shown that verifying temporal properties over such theories is decidable. We take a first-person view and use the theory to capture what the agent believes about the domain of interest (...)
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  21.  32
    Verification of concurrent programs: the automata-theoretic framework.Moshe Y. Vardi - 1991 - Annals of Pure and Applied Logic 51 (1-2):79-98.
    Vardi, M.Y., Verification of concurrent programs: the automata-theoretic framework, Annals of Pure and Applied Logic 51 79–98. We present an automata-theoretic framework to the verification of concurrent and nondeterministic programs. The basic idea is that to verify that a program P is correct one writes a program A that receives the computation of P as input and diverges only on incorrect computations of P. Now P is correct if and only if a program PA, obtained by combining (...)
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  22.  8
    Verification Principle and Testability Principle.Lev D. Lamberov - 2024 - Epistemology and Philosophy of Science 61 (1):152-168.
    The paper deals with the conception of logical empiricism developed by Eino Kaila. Eino Kaila, being a thinker close to the Vienna Circle, departs from some of the central ideas of logical positivism. He identifies a limited number of problems in metaphysics that are meaningful and need to be solved, but he declares the rest of metaphysics to be a logical fallacy. For Eino Kaila, it is not the principle of verification (as a criterion of meaning) but the principle (...)
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  23.  38
    B. “verification” of statements in psychiatry.P. H. Esser - 1956 - Synthese 10 (1):373-377.
    (1) It remains to be seen if in the field of Psychiatry just as in that of Psychology the verbal output of a subject can be submitted to verification. Many statements of a highly emotional character being merely symptoms of certain dispositions have no direct communicative sense at all.(2) It being one of the characteristics of the mentally ill to loose contact and exchange of ideas with other people, the question naturally suggests itself if this symptom may be at (...)
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  24.  8
    Probabilistic verification and approximation.Richard Lassaigne & Sylvain Peyronnet - 2008 - Annals of Pure and Applied Logic 152 (1):122-131.
    We study the existence of efficient approximation methods to verify quantitative specifications of probabilistic systems. Models of such systems are labelled discrete time Markov chains and checking specifications consists of computing satisfaction probabilities of linear temporal logic formulas. We prove that, in general, there is no polynomial time randomized approximation scheme with relative error for probabilistic verification. However, in many applications, specifications can be expressed by monotone formulas or negation of monotone formulas and randomized approximation schemes with absolute (...)
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  25.  36
    Logic and argument.Christopher Kirwan - 1978 - New York: New York University Press.
  26.  75
    Eschatological Verification Reconsidered.John Hick - 1977 - Religious Studies 13 (2):189 - 202.
    The world in which we find ourselves is religiously ambiguous. It is possible for different people to experience it both religiously and non-religiously; and to hold beliefs which arise from and feed into each of these ways of experiencing. A religious man may report that in moments of prayer he is conscious of existing in the unseen presence of God, and is aware - sometimes at least - that his whole life and the entire history of the world is taking (...)
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  27. Emotivism and the verification principle.Alexander Miller - 1998 - Proceedings of the Aristotelian Society 98 (2):103–124.
    In chapter VI of Language, Truth, and Logic, A.J. Ayer argues that ethical statements are not literally significant. Unlike metaphysical statements, however, ethical statements are not nonsensical: even though they are not literally significant, Ayer thinks that they possess some other sort of significance. This raises the question: by what principle or criterion can we distinguish, among the class of statements that are not literally significant, between those which are genuinely meaningless and those which possess some other, non-literal form (...)
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  28.  12
    The Papris Methodology Verification Using The Implementation Of Specific Information System For Public Administration.Pavel Vlček & Vladimír Krajčík - 2016 - Creative and Knowledge Society 6 (2):26-35.
    The article focuses on process management in public administration using the specific case study of the statutory city of Ostrava. Based on the selected part of the PAPRIS methodology, the process management is verified, and conclusions from the application of information system e-SMO are generalized. Ostrava is third the biggest city in Czech Republic with approximately 320 thousand citizen. Article describes experiences with SW implements, which are used for model of process in public administration. Particulary at local authority of Ostrava (...)
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  29.  81
    Quantum Logic and Meaning.Geoffrey Hellman - 1980 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980:493 - 511.
    Quantum logic as genuine non-classical logic provides no solution to the "paradoxes" of quantum mechanics. From the minimal condition that synonyms be substitutable salva veritate, it follows that synonymous sentential connectives be alike in point of truth-functionality. It is a fact of pure mathematics that any assignment Φ of (0, 1) to the subspaces of Hilbert space (dim. ≥ 3) which guarantees truth-preservation of the ordering and truth-functionality of QL negation, violates truth-functionality of QL ∨ and $\wedge $ (...)
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  30. Verification in Structural Theory: A Linguist's Point of View.Harvey Rosenbaum - 1982 - In Ino Rossi (ed.), The Logic of culture: advances in structural theory and methods. South Hadley, Mass.: J.F. Bergin Publishers. pp. 88.
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  31.  17
    A verification framework for agent programming with declarative goals.F. S. de Boer, K. V. Hindriks, W. van der Hoek & J. -J. Ch Meyer - 2007 - Journal of Applied Logic 5 (2):277-302.
  32.  50
    On how verification tasks are related to verification procedures: a reply to Kotek et al.Tim Hunter, Jeffrey Lidz, Darko Odic & Alexis Wellwood - 2017 - Natural Language Semantics 25 (2):91-107.
    Kotek et al. argue on the basis of novel experimental evidence that sentences like ‘Most of the dots are blue’ are ambiguous, i.e. have two distinct truth conditions. Kotek et al. furthermore suggest that when their results are taken together with those of earlier work by Lidz et al., the overall picture that emerges casts doubt on the conclusions that Lidz et al. drew from their earlier results. We disagree with this characterization of the relationship between the two studies. Our (...)
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  33.  14
    On Verification.Bertrand Russell - 1940 - Journal of Symbolic Logic 5 (1):27-27.
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  34. Self-verification and the content of thought.Aaron Z. Zimmerman - 2006 - Synthese 149 (1):59-75.
    Burge follows Descartes in claiming that the category of conceptually self-verifying judgments includes (but is not restricted to) judgments that give rise to sincere assertions of sentences of the form, 'I am thinking that p'. In this paper I argue that Burge’s Cartesian insight is hard to reconcile with Fregean accounts of the content of thought. Burge's intuitively compelling claim that cogito judgments are conceptually self-verifying poses a real challenge to neo-Fregean theories of content.
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  35.  78
    Self-verification and the content of thought.Aaron Z. Zimmerman - 2006 - Synthese 149 (1):59 - 75.
    Descartes famously argued, on purely conceptual grounds, that even an extremely powerful being could not trick him into mistakenly judging that he was thinking. Of course, it is not necessarily true that Descartes is thinking. Still, Descartes claimed, it is necessarily true that if a person judges that she is thinking, that person is thinking. Following Tyler Burge (1988) we call such judgments ‘self-verifying.’ More exactly, a judgment j performed by a subject S at a time t is selfverifying if (...)
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  36.  41
    Modal logics with Belnapian truth values.Serge P. Odintsov & Heinrich Wansing - 2010 - Journal of Applied Non-Classical Logics 20 (3):279-304.
    Various four- and three-valued modal propositional logics are studied. The basic systems are modal extensions BK and BS4 of Belnap and Dunn's four-valued logic of firstdegree entailment. Three-valued extensions of BK and BS4 are considered as well. These logics are introduced semantically by means of relational models with two distinct evaluation relations, one for verification and the other for falsification. Axiom systems are defined and shown to be sound and complete with respect to the relational semantics and with (...)
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  37.  13
    Automatic verification of multi-agent systems by model checking via ordered binary decision diagrams.Franco Raimondi & Alessio Lomuscio - 2007 - Journal of Applied Logic 5 (2):235-251.
  38.  59
    Automatic verification of temporal-epistemic properties of cryptographic protocols.Ioana Boureanu, Mika Cohen & Alessio Lomuscio - 2009 - Journal of Applied Non-Classical Logics 19 (4):463-487.
    We present a technique for automatically verifying cryptographic protocols specified in the mainstream specification language CAPSL. We define a translation from CAPSL models into interpreted systems, a popular semantics for temporal-epistemic logic, and rewrite CAPSL goals as temporal-epistemic specifications. We present a compiler that implements this translation. The compiler links to the symbolic model checker MCMAS. We evaluate the technique on protocols in the Clark-Jacobs library and in the SPORE repository against custom secrecy and authentication requirements.
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  39. Does John Hick's 'Eschatological Verification commit a Logical Category Mistake?'.L. Hughes Cox - 1974 - Pacific Philosophical Quarterly 55 (2):95.
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  40.  10
    Logic for Information Technology.Antony Galton - 1990
    The value of logic techniques in circuit design has been well-known for many years, but a thorough grounding in mathematical logic is needed for all stages of software development, especially program specification, verification and program transformation. In all these stages, logic underpins the theory, bearing out the dictum that Logic is the calculus of computer science. This book presents the subject of mathematical logic in order to provide a grounding for students in computer science.
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  41. Logic in mathematics and computer science.Richard Zach - forthcoming - In Filippo Ferrari, Elke Brendel, Massimiliano Carrara, Ole Hjortland, Gil Sagi, Gila Sher & Florian Steinberger (eds.), Oxford Handbook of Philosophy of Logic. Oxford, UK: Oxford University Press.
    Logic has pride of place in mathematics and its 20th century offshoot, computer science. Modern symbolic logic was developed, in part, as a way to provide a formal framework for mathematics: Frege, Peano, Whitehead and Russell, as well as Hilbert developed systems of logic to formalize mathematics. These systems were meant to serve either as themselves foundational, or at least as formal analogs of mathematical reasoning amenable to mathematical study, e.g., in Hilbert’s consistency program. Similar efforts continue, (...)
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  42.  38
    Verification, falsification, and cancellation in ${\rm KT}$.Timothy Williamson - 1990 - Notre Dame Journal of Formal Logic 31 (2):286-290.
    The main result of this paper is that KT is closed under a cancellation principle. This result extends to KTG1, but it does not extend to modal systems associated with the provability interpretation of L, such as KW and KT4Grz. Following Williamson, these results are applied to philosophical concerns about the proper form for theories of meaning, via the interpretation of L as some kind of veriflability. The cancellation principle can then be read as saying that verifilability conditions and falsiflability (...)
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  43.  17
    The Verification Argument.Charles A. Baylis & Norman Malcolm - 1951 - Journal of Symbolic Logic 16 (4):300.
  44.  13
    Logic for Computer Science.Steve Reeves & Michael Clarke - 1990 - Addison Wesley Publishing Company.
    An understanding of logic is essential to computer science. This book provides a highly accessible account of the logical basis required for reasoning about computer programs and applying logic in fields like artificial intelligence. The text contains extended examples, algorithms, and programs written in Standard ML and Prolog. No prior knowledge of either language is required. The book contains a clear account of classical first-order logic, one of the basic tools for program verification, as well as (...)
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  45.  67
    Wittgenstein on Verification and Seeing-As, 1930–1932.Andreas Blank - 2011 - Inquiry: An Interdisciplinary Journal of Philosophy 54 (6):614 - 632.
    Abstract This article examines the little-explored remarks on verification in Wittgenstein's notebooks during the period between 1930 and 1932. In these remarks, Wittgenstein connects a verificationist theory of meaning with the notion of logical multiplicity, understood as a space of possibilities: a proposition is verified by a fact if and only if the proposition and the fact have the same logical multiplicity. But while in his early philosophy logical multiplicities were analysed as an outcome of the formal properties of (...)
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  46.  92
    To know or not to know: epistemic approaches to security protocol verification.Francien Dechesne & Yanjing Wang - 2010 - Synthese 177 (S1):51-76.
    Security properties naturally combine temporal aspects of protocols with aspects of knowledge of the agents. Since BAN-logic, there have been several initiatives and attempts to incorpórate epistemics into the analysis of security protocols. In this paper, we give an overview of work in the field and present it in a unified perspective, with comparisons on technical subtleties that have been employed in different approaches. Also, we study to which degree the use of epistemics is essential for the analysis of (...)
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  47.  29
    A Vindication of Program Verification.Selmer Bringsjord - 2015 - History and Philosophy of Logic 36 (3):262-277.
    Fetzer famously claims that program verification is not even a theoretical possibility, and offers a certain argument for this far-reaching claim. Unfortunately for Fetzer, and like-minded thinkers, this position-argument pair, while based on a seminal insight that program verification, despite its Platonic proof-theoretic airs, is plagued by the inevitable unreliability of messy, real-world causation, is demonstrably self-refuting. As I soon show, Fetzer is like the person who claims: ‘My sole claim is that every claim expressed by an English (...)
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  48. Relevance and Verification.Ben Blumson - 2021 - Philosophical Quarterly 71 (3):457-480.
    A. J. Ayer’s empiricist criterion of meaning was supposed to have sorted all statements into nonsense on the one hand, and tautologies or genuinely factual statements on the other. Unfortunately for Ayer, it follows from classical logic that his criterion is trivial—it classifies all statements as either tautologies or genuinely factual, but none as nonsense. However, in this paper, I argue that Ayer’s criterion of meaning can be defended from classical proofs of its triviality by the adoption of a (...)
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  49.  53
    Logical positivism.Oswald Hanfling - 1981 - New York: Columbia University Press.
    This book is a compact, accessible treatment of the main ideas advanced by the positivists, including Schlick, Carnap, Ayer, and the early Wittgenstein. Oswald Hanfling discusses such ideas as the 'verification principle' ('the meaning of this statement is the method of its verification') and the 'elimination of metaphysics, ' an attempt to show that metaphysical statements, for example about God, are unverifiable and therefore meaningless.
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  50.  15
    A logic for metric and topology.Frank Wolter & Michael Zakharyaschev - 2005 - Journal of Symbolic Logic 70 (3):795-828.
    We propose a logic for reasoning about metric spaces with the induced topologies. It combines the ‘qualitative’ interior and closure operators with ‘quantitative’ operators ‘somewhere in the sphere of radiusr’ including or excluding the boundary. We supply the logic with both the intended metric space semantics and a natural relational semantics, and show that the latter (i) provides finite partial representations of (in general) infinite metric models and (ii) reduces the standard ‘ε-definitions’ of closure and interior to simple (...)
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