Results for 'Verification (Logic '

350 found
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  1. Roland fraïssé.Et Sa Vérification Dans Certaines - 1968 - In Jean-Louis Destouches, Evert Willem Beth & Institut Henri Poincaré (eds.), Logic and foundations of science. Dordrecht,: D. Reidel.
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  2.  14
    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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  3.  44
    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.  24
    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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  5.  7
    The logic of God; theology and verification.Malcolm Luria Diamond - 1975 - Indianapolis,: Bobbs-Merrill. Edited by Thomas V. Litzenburg.
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  6.  59
    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.  10
    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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  8.  12
    Logic-Based Agent Verification.Michael Fisher, Munindar Singh, Diana Spears & Mike Wooldridge - 2007 - Journal of Applied Logic 5 (2):193-195.
  9.  13
    Formal Verification of Security Proofs of Cryptographic Schemes Using Probabilistic Hoare Logic.Takahiro Kubota - 2012 - Kagaku Tetsugaku 45 (2):15-27.
  10. 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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  11.  6
    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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  12.  25
    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.  13
    Using temporal logics of knowledge for specification and verification—a case study.Clare Dixon - 2006 - Journal of Applied Logic 4 (1):50-78.
  14.  11
    A multiple-valued logic approach to the design and verification of hardware circuits.Amnon Rosenmann - 2016 - Journal of Applied Logic 15:69-93.
  15. 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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  16. 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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  17. 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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  18. 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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  19.  27
    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.  30
    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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  21.  73
    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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  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. 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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  26.  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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  27.  68
    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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  28.  12
    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.
  29.  75
    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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  30. 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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  31.  15
    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.  14
    The Verification Argument.Charles A. Baylis & Norman Malcolm - 1951 - Journal of Symbolic Logic 16 (4):300.
  33. 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. J.F. Bergin Publishers. pp. 88.
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  34.  13
    On Verification.Bertrand Russell - 1940 - Journal of Symbolic Logic 5 (1):27-27.
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  35.  58
    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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  36. 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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  37.  26
    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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  38.  48
    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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  39.  10
    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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  40.  18
    Formal Modelling and Verification of Probabilistic Resource Bounded Agents.Hoang Nga Nguyen & Abdur Rakib - 2023 - Journal of Logic, Language and Information 32 (5):829-859.
    Many problems in Multi-Agent Systems (MASs) research are formulated in terms of the abilities of a coalition of agents. Existing approaches to reasoning about coalitional ability are usually focused on games or transition systems, which are described in terms of states and actions. Such approaches however often neglect a key feature of multi-agent systems, namely that the actions of the agents require resources. In this paper, we describe a logic for reasoning about coalitional ability under resource constraints in the (...)
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  41.  19
    Логика прогноза [The Logic of Prognosis].Anton Zimmerling - 1997 - In Н.Д Арутюнова & Т.Е Янко (eds.), Логический анализ языка. Язык и время. Н.Д.Арутюнова, Т.Е.Янко (отв. ред.). М.: Индрик, 1997. 352 с. [Logical Analysis of Language. Language and Time / Nina D. Arutyunova, Tatiana E. Yanko (Eds.). Moscow: Indrik, 1997. 352 p.]. pp. 337-347.
    This paper introduces and discusses three models of future: a determinist model, a stochastic model, and the model of True Prophetic Knowledge. All three models coexist in natural languages and are represented both in their grammatical systems and in the text-building discourse strategies speakers and authors apply to.
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  42. On Split Negation, Strong Negation, Information, Falsification, and Verification.Heinrich Wansing - 2016 - In Katalin Bimbó (ed.), J. Michael Dunn on Information Based Logics. Cham, Switzerland: Springer.
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  43. 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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  44.  66
    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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  45.  10
    Practical Approach in Verification of Security Systems Using Satisfiability Modulo Theories.Agnieszka M. Zbrzezny, Sabina Szymoniak & Miroslaw Kurkowski - 2022 - Logic Journal of the IGPL 30 (2):289-300.
    The paper presents a novel method for the verification of security protocols’ time properties. The new method uses a translation to satisfiability modulo theories problem. In our approach, we model protocol users’ behaviours using networks of synchronized timed automata. Suitably specified correctness properties are defined as a reachability property of some chosen states in an automata network. Then, the network of timed automata and the property are translated to an SMT problem and checked using an SMT-solver and a BMC (...)
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  46.  32
    Transmission of Verification.Ethan Brauer & Neil Tennant - forthcoming - Review of Symbolic Logic:1-16.
    This paper clarifies, revises, and extends the account of the transmission of truthmakers by core proofs that was set out in chap. 9 of Tennant. Brauer provided two kinds of example making clear the need for this. Unlike Brouwer’s counterexamples to excluded middle, the examples of Brauer that we are dealing with here establish the need for appeals to excluded middle when applying, to the problem of truthmaker-transmission, the already classical metalinguistic theory of model-relative evaluations.
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  47.  18
    Correction to: Computer verification for historians of philosophy.Landon D. C. Elkind - 2023 - Synthese 201 (5):1-1.
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  48.  6
    New Approach for Writer Verification Based on Segments of Handwritten Graphemes.Verónica Aubin, Marco Mora & Matilde Santos - 2022 - Logic Journal of the IGPL 30 (6):965-978.
    Traditional literature considers complex biometric sources such as words, letters and signatures for writer verification/identification. In this work the use of small segments of the handwritten stroke for writer verification is proposed. A grapheme is defined as the concatenation of smaller segments or fragments. Two models of grapheme are developed based on the idea that the segments are parts of a circle with or without direction. The average of Gray Level of the Perpendicular Line to the Skeleton and (...)
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  49.  19
    On complexity of verification of interacting agents' behavior.Michael Dekhtyar, Alexander Dikovsky & Mars Valiev - 2006 - Annals of Pure and Applied Logic 141 (3):336-362.
    This paper studies the complexity of behavior of multi-agent systems. Behavior properties are formulated using classical temporal logic languages and are checked with respect to the transition system induced by the definition of the multi-agent system. We establish various tight complexity bounds of the behavior properties under natural structural and semantic restrictions on agent programs and actions.
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  50. Visual methods for argument verification and semantic analysis.Alfonso Cabanzo - 2011 - Logos: Revista de la Facultad de Filosofia y Humanidades 19 (Logic, visual methods):79-105.
    In this paper I will present a visual method that I have created to demonstrate the validity of propositional arguments and predicates, based on the traditional Venn diagrams. This idea was born after becoming aware of how useful visual methods are in other scientific fields, such as geometrical representations of arithmetic and algebraic concepts. This method illustrates the relationship between propositional logic, predicate logic and set theory, and it can be used to explain linguistic semantic concepts such as (...)
     
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