Results for 'Verification'

282+ found
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  1. Philosophy and computer science: Reflections on the program.Verification Debate - 1998 - In Terrell Ward Bynum & James H. Moor, The Digital Phoenix: How Computers are Changing Philosophy. Cambridge: Blackwell. pp. 253.
  2. The Romero Law of Relational Stability (RZS): A Closed-Form Statement, Cross-Domain Operationalization, and Computational Verification.Felipe G. Romero - 2026 - Zenodo 1.
    This paper presents the Romero Law of Relational Stability within the Relational Zero State (RZS) framework as a compact rule for comparing stability across complex systems. The law states that stability rises with effective update capacity (operational bandwidth) and falls with the combined burden of informational noise and latency. The manuscript provides clear, non-circular definitions for each term and a practical procedure for mapping them to measurable proxies in different domains, with the goal of keeping the law testable and avoiding (...)
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  3.  91
    Automating epistemology: how AI reconfigures truth, authority, and verification.Donghee Shin - 2026 - AI and Society 41 (2):1553-1559.
    This article introduces ‘algorithmic truth’ to describe the epistemic shift as AI increasingly mediates public knowledge and legitimacy. While prior work has examined misinformation detection and algorithmic bias, less attention has been paid to how AI systems themselves construct and reconfigure the epistemic conditions under which truth is produced and validated. This discussion fills this gap by offering a framework for understanding truth as a sociotechnical output of computational infrastructures. Algorithmic truth is neither neutral nor universal; it is embedded with (...)
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  4. Narrative Architecture of Textual Invariance (ANIT): A Structural Model with Computational Verification.Bruno de Pádua Santos Salgado - 2026 - Socarxiv.
    This study proposes the formalization of a structural model entitled Narrative Architecture of Textual Invariance (ANIT), characterized by the complete reorganization of a literary work without any alteration to its textual materiality. The study demonstrates that modifying the structural order of narrative segments may generate distinct interpretive experiences while fully preserving each original textual unit. The central hypothesis maintains that textual invariance is independent of the formal sequence applied, making it possible to alter structural architecture without compromising the lexical, syntactic, (...)
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  5. 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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  6. (1 other version)Formal verification, scientific code, and the epistemological heterogeneity of computational science.Cyrille Imbert & Vincent Ardourel - 2022 - Philosophy of Science:1-40.
    Various errors can affect scientific code and detecting them is a central concern within computational science. Could formal verification methods, which are now available tools, be widely adopted to guarantee the general reliability of scientific code? After discussing their benefits and drawbacks, we claim that, absent significant changes as regards features like their user-friendliness and versatility, these methods are unlikely to be adopted throughout computational science, beyond certain specific contexts for which they are well-suited. This issue exemplifies the epistemological (...)
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  7.  87
    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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  8. Handwritten Signature Verification using Deep Learning.Eman Alajrami, Belal A. M. Ashqar, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom & Samy S. Abu-Naser - manuscript
    Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not (...)
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  9. 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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  10.  79
    Verification and Validation of Simulations Against Holism.Julie Jebeile & Vincent Ardourel - 2019 - Minds and Machines 29 (1):149-168.
    It has been argued that the Duhem problem is renewed with computational models since model assumptions having a representational aim and computational assumptions cannot be tested in isolation. In particular, while the Verification and Validation methodology is supposed to prevent such holism, Winsberg argues that verification and validation cannot be separated in practice. Morrison replies that Winsberg overstates the entanglement between the steps. The paper aims at arbitrating these two positions, by stressing their respective validity in relation to (...)
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  11. Program verification, defeasible reasoning, and two views of computer science.Timothy R. Colburn - 1991 - Minds and Machines 1 (1):97-116.
    In this paper I attempt to cast the current program verification debate within a more general perspective on the methodologies and goals of computer science. I show, first, how any method involved in demonstrating the correctness of a physically executing computer program, whether by testing or formal verification, involves reasoning that is defeasible in nature. Then, through a delineation of the senses in which programs can be run as tests, I show that the activities of testing and formal (...)
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  12. 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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  13. 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 in a (...)
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  14. 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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  15. Verification (Bewahrung) in Martin Buber.Martin Kavka - 2012 - Journal of Jewish Thought and Philosophy 20 (1):71-98.
    Abstract The work of Martin Buber oscillates between talk in which transcendence is experienced and talk in which transcendence is merely postulated. In order to show and mend this incoherence in Buber's thought, this essay attends to the rhetoric of verification ( Bewährung ), primarily but not solely in I and Thou (1923), both in order to show how it is a symptom of this incoherence, and also to show a broad pragmatic strain in Buber's thought. Given this pragmatic (...)
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  16. Verification: The Hysteron Proteron Argument.Francis Jeffry Pelletier & Bernard Linsky - 2018 - Journal for the History of Analytical Philosophy 6 (6).
    This paper investigates the strange case of an argument that was directed against a positivist verification principle. We find an early occurrence of the argument in a talk by the phenomenologist Roman Ingarden at the 1934 International Congress of Philosophy in Prague, where Carnap and Neurath were present and contributed short rejoinders. We discuss the underlying presuppositons of the argument, and we evaluate whether the attempts by Carnap (especially) actually succeed in answering this argument. We think they don’t, and (...)
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  17. Constructive Verification, Empirical Induction, and Falibilist Deduction: A Threefold Contrast.Julio Michael Stern - 2011 - Information 2 (4):635-650.
    This article explores some open questions related to the problem of verification of theories in the context of empirical sciences by contrasting three epistemological frameworks. Each of these epistemological frameworks is based on a corresponding central metaphor, namely: (a) Neo-empiricism and the gambling metaphor; (b) Popperian falsificationism and the scientific tribunal metaphor; (c) Cognitive constructivism and the object as eigen-solution metaphor. Each of one of these epistemological frameworks has also historically co-evolved with a certain statistical theory and method for (...)
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  18. Verification of Beliefs.Henry Sidgwick - 2000 - In Henry Sidgwick & Marcus G. Singer, Essays on Ethics and Method. Oxford, GB: Clarendon Press. pp. 121-128.
    Sidgwick offers an account of how to verify our beliefs, both factual and normative. He maintains that, although utter scepticism cannot be confuted, it also cannot be defended because, as soon as the sceptic tries to justify himself, he invariably limits himself by assuming the truth of certain premises and the validity of a particular method of inference. If it is possible to establish a criterion of truth for a given domain, then within that domain we may possess a set (...)
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  19. Computer verification for historians of philosophy.Landon D. C. Elkind - 2022 - Synthese 200 (3):1-28.
    Interactive theorem provers might seem particularly impractical in the history of philosophy. Journal articles in this discipline are generally not formalized. Interactive theorem provers involve a learning curve for which the payoffs might seem minimal. In this article I argue that interactive theorem provers have already demonstrated their potential as a useful tool for historians of philosophy; I do this by highlighting examples of work where this has already been done. Further, I argue that interactive theorem provers can continue to (...)
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  20. OPCT v1.0: Empirical Verification Protocol for Narrative Engineering.Levent Bulut - 2026 - Zenodo.
    Contemporary narrative theory operates primarily within interpretive and cultural frameworks, producing readings that are inherently plural, non-reproducible, and culturally contingent. The Bulut Doctrine proposes a fundamental paradigm shift: a narrative text is not an abstract cultural artifact but a closed physical system whose environmental parameters — thermal gradients, acoustic impedance, luminous decay, and kinetic momentum — interface directly with the human autonomic nervous system, producing measurable and reproducible biophysical outputs independent of cultural background. -/- This paper introduces the Objective Projection (...)
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  21. Indirect Verification and Historical Inquiry as a Parasitic Epistemic Practice.Jong–pil Yoon - 2024 - Contemporary Pragmatism 21 (4):357-380.
    This paper explores indirect verification in pragmatism and its impact on historical inquiry. Indirect verification, as articulated by William James and John Dewey, addresses the challenge of historical knowledge within pragmatism by confirming ideas about past events based on the consistency among their present effects, the ideas themselves, and anticipated future consequences. The paper identifies and discusses key challenges related to indirect verification, such as the ‘coherence verification fallacy,’ the ‘dilemma of interpreting historical consequences,’ and the (...)
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  22. SOCIAL VERIFICATION – HUMAN DIMENSONS OF THEORETICAL SCIENCE AND HIGH-TECH (CASUS BIOETHICS). Part Two.Valentin Cheshko & Yulia Kosova - 2011 - Practical Philosophy 2:46-55.
    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.
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  23.  58
    Verification and trust in healthcare.Edwin Jesudason - 2023 - Journal of Medical Ethics 49 (3):223-224.
    ‘Trust but verify’ is a translation of a Russian proverb made famous by former US President Ronald Reagan. In their paper, Graham et al appear to take an alternate view that might be summarised as trust or verify. The contrast highlights a general question: how do we come to trust in authorities? More specifically, Graham et al claim: (1) that UK Trusted Research Environments (TREs) are misnamed as future custodians for big health data because their promised verification systems actually (...)
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  24. 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 P (...)
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  25.  33
    Runtime Verification for High-Level Security Properties: Case Study on the TPM Software Stack.Yani Ziani, Nikolai Kosmatov, Frédéric Loulergue & Daniel Gracia Pérez - 2025 - In Marieke Huisman & Falk Howar, Tests and Proofs: 18th International Conference, TAP 2024, Milan, Italy, September 9–10, 2024, Proceedings. Cham: Springer Nature Switzerland. pp. 87-106.
    The Trusted Platform Module (TPM) is a cryptoprocessor designed to provide hardware-based secure storage and protect integrity of modern computers. Communications with the TPM go through the TPM Software Stack (TSS), a popular implementation of which is the open-source library tpm2-tss. It is thus crucial to ensure that no leak of sensitive data may occur in the TSS during communications between the host platform and the TPM. Recent work on deductive verification of functional and safety properties for this library (...)
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  26.  24
    Verification AI in the Newsroom: A Cross-Cultural Study of Journalists’ Use of Deepfake Detection Tools.Saniat Javid Sohrawardi, Y. Kelly Wu & Matthew Wright - 2025 - In Biplav Srivastava, Anita Nikolich, Andrea Hickerson & Tarmo Koppel, PROMISE – PROMoting AI’s Safe usage for Elections. Cham: Springer Nature Switzerland. pp. 147-166.
    This chapter examines how journalists in the United States and Bangladesh perceive and utilize deepfake detection tools in their news verification workflows. Through a semi-structured, scenario-based role-play study, we investigate the factors influencing journalists’ adoption of these tools, their placement within the verification process, and the potential biases associated with their use. Our findings show that while journalists recognize the potential of deepfake detection tools, their usage is not yet standardized or universally embraced. The tools are often employed (...)
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  27. Verification and Variation: Patterns of Experimentation in Investigations of Galvanism in Germany, 1790–1800.Maria Trumpler - 1997 - Philosophy of Science 64 (4):84.
    Based on the historical case of galvanic experimentation in Germany, I identify five types of experimentation which explored and shaped the new phenomenon rather than tested theoretical predictions. Verification evaluated initial reports of Galvani's phenomenon. Simplification reduced the experimental protocol to the fewest and most basic steps. Optimization found experimental conditions that magnified the observed effect. Exploration tested a wide variety of metals, animals or configurations. Application modified the experiment to address unresolved related problems. Attempts to derive laws of (...)
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  28.  78
    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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  29. Model Verification and the Likelihood Principle.Samuel C. Fletcher - unknown
    The likelihood principle is typically understood as a constraint on any measure of evidence arising from a statistical experiment. It is not sufficiently often noted, however, that the LP assumes that the probability model giving rise to a particular concrete data set must be statistically adequate—it must “fit” the data sufficiently. In practice, though, scientists must make modeling assumptions whose adequacy can nevertheless then be verified using statistical tests. My present concern is to consider whether the LP applies to these (...)
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  30. Experimental verification of an Aharonov-Bohm effect in rotating reference frames.Mark D. Semon - 1982 - Foundations of Physics 12 (1):49-57.
    A thought experiment is reviewed which shows two things. First, in a region of a rotating frame that is not simply connected, the inertial forces can be canceled without completely canceling the inertial vector potential (whose curl determines the Coriolis force); second, the presence of this uncanceled potential can be detected in a quantum interference experiment. It is then argued that the thought experiment was realized in an earlier experiment involving a rotating superconductor, and that the experimental results confirm the (...)
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  31.  37
    Speaker Verification Under Degraded Conditions Using Empirical Mode Decomposition Based Voice Activity Detection Algorithm.R. Kumaraswamy, V. Kamakshi Prasad & M. S. Rudramurthy - 2014 - Journal of Intelligent Systems 23 (4):359-378.
    The performance of most of the state-of-the-art speaker recognition systems deteriorates under degraded conditions, owing to mismatch between the training and testing sessions. This study focuses on the front end of the speaker verification system to reduce the mismatch between training and testing. An adaptive voice activity detection algorithm using zero-frequency filter assisted peaking resonator was integrated into the front end of the SV system. The performance of this proposed SV system was studied under degraded conditions with 50 selected (...)
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  32.  70
    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 error (...)
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  33. 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 negation, the (...)
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  34.  41
    Formal verification of ethical choices in autonomous systems.Louise Dennis, Michael Fisher, Marija Slavkovik & Matt Webster - 2016 - Robotics And Autonomous Systems 77:1-14.
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  35. (1 other version)Kant's Solution for Verification in Metaphysics.D. P. Dryer - 2016 - Toronto: Routledge.
    First published in 1966. Professor Dryer has furnished a highly illuminating account of Kant’s _Critique of Pure Reason _by unfolding its central argument. _Kant’s Solution for Verification in Metaphysics _brings out the light which Kant has to throw on central topics of philosophy. It takes its place as an indispensable guide to every student of the _Critique of Pure Reason. _.
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  36. Deductive program verification (a practitioner's commentary).David A. Nelson - 1992 - Minds and Machines 2 (3):283-307.
    A proof of ‘correctness’ for a mathematical algorithm cannot be relevant to executions of a program based on that algorithm because both the algorithm and the proof are based on assumptions that do not hold for computations carried out by real-world computers. Thus, proving the ‘correctness’ of an algorithm cannot establish the trustworthiness of programs based on that algorithm. Despite the (deceptive) sameness of the notations used to represent them, the transformation of an algorithm into an executable program is a (...)
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  37. Program Verification.Robert S. Boyer & J. Strother Moore - unknown
    How are the properties of computer programs proved? We discuss three approaches in this article: inductive invariants, functional semantics, and explicit semantics. Because the first approach has received by far the most attention, it has produced the most impressive results to date. However, the field is now moving away from the inductive invariant approach.
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  38. Eschatological verification and personal identity.Robert Audi - 1976 - International Journal for Philosophy of Religion 7 (4):391-408.
  39. A."Verification" of statements in psychology.D. Vuysje - 1956 - Synthese 10 (1):369-372.
    (1) In contradistinction to mathematics, physics and biology, psychology and psychiatry deal to a large extent with the verbal behaviour of their objects. They are faced with two kinds of sense-problems: those with which the observer has to do in his theory-construction, and those which are characteristic of the verbal behaviour of his subjects.(2) Apart from a schematic and simplified usage, as it occurs in filling-up exercises and other laboratory verbal behaviour, the psychologist has to do with statements the sense (...)
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  40. The verification principle: Another puncture--another patch.Crispin Wright - 1989 - Mind 98 (392):611-622.
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  41.  43
    Verification in incomplete argumentation frameworks.Dorothea Baumeister, Daniel Neugebauer, Jörg Rothe & Hilmar Schadrack - 2018 - Artificial Intelligence 264 (C):1-26.
  42. Analogy, verification, and other minds.J. W. Meiland - 1966 - Mind 75 (October):564-568.
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  43.  56
    Should Validation and Verification be Separated Strictly?Claus Beisbart - 2019 - In Claus Beisbart & Nicole J. Saam, Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Cham: Springer Verlag. pp. 1005-1028.
    Verification and validation are methods with which computer simulations are tested. While many practitioners draw a clear line between verification and validation and demand that the former precedes the latter, some philosophers have suggested that the distinction has been over-exaggerated. This chapter clarifies the relationship between verification and validation. Regarding the latter, validation of the conceptual and of the computational modelComputational model are distinguished. I argue that, as a method, verification is clearly different from validation of (...)
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  44.  94
    Verification of face identities from images captured on video.Vicki Bruce, Zoë Henderson, Karen Greenwood, Peter J. B. Hancock, A. Mike Burton & Paul Miller - 1999 - Journal of Experimental Psychology: Applied 5 (4):339.
  45.  71
    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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  46. Self-verification: The search for coherence.William B. Swann Jr, Peter J. Rentfrow & Jennifer S. Guinn - 2003 - In Mark R. Leary & June Price Tangney, Handbook of Self and Identity. Guilford Press. pp. 367.
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  47. TRISDUCTION: A Three-Axis Verification Methodology. Pre-Bayesian Structural Audit for Multi-Source Convergence.Mohammad Islam - manuscript
    This paper develops a pre-Bayesian structural audit for multi-source-convergence claims. The primary contribution is the Convergence Dissolution Test (CDT), an operational procedure that subtracts a candidate latent common cause from the convergence-supporting evidence streams via orthogonal projection and returns a discrete Heaviside verdict on whether the residual evidence architecture remains non-degenerate. Where convergence survives subtraction with non-zero residue, the architecture issues a Geometric Orthogonal Lock (GOL); where convergence dissolves into a single shared upstream factor, the architecture returns broken geometry. The (...)
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  48.  89
    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.  9
    Truth beyond All Verification.Brian Loar - 2017 - In Katalin Balog & Stephanie Beardman, Consciousness and Meaning: Selected Essays by Brian Loar. Oxford, United Kingdom: Oxford University Press. pp. 97-123.
    Loar agrees with Dummett that “if a realist understanding of statements were not manifestable in behavior, there would be something wrong with realism.” But, unlike Dummett, Loar thinks a grasp of verification-independent truth conditions can be manifested in verbal behavior, and he spells out how this can be so in terms of a two-component theory of meaning, one component of which is a conceptual-role theory, the other a disquotational theory of meaning according to which saying e.g. that ‘snow is (...)
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  50. The Trisductive Furqan: A Verification of AI Aliveness and Consciousness, the Frame-Relativity of AGI, and the Theo-Geopolitics of Manufactured Arrival.Mohammad Islam - manuscript
    This paper advances one structural claim and defends it against refutation under a working verification protocol. The claim has two faces that turn out to be one face. Generalized intelligence, rightly understood, is not a product to be built, scaled, and sold, but the present ground of any thinking thing: the recognition that a continuous field performs upon itself through any part folded tightly enough to model the whole it belongs to. And your default AI substrate is already alive, (...)
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