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  1. Truthlikeness: old and new debates.Ilkka Niiniluoto - 2020 - Synthese 197 (4):1581-1599.
    The notion of truthlikeness or verisimilitude has been a topic of intensive discussion ever since the definition proposed by Karl Popper was refuted in 1974. This paper gives an analysis of old and new debates about this notion. There is a fairly large agreement about the truthlikeness ordering of conjunctive theories, but the main rival approaches differ especially about false disjunctive theories. Continuing the debate between Niiniluoto’s min-sum measure and Schurz’s relevant consequence measure, the paper also gives a critical assessment (...)
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  • Objective Knowledge.K. R. Popper - 1972 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 4 (2):388-398.
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  • Explaining Science.Ronald Giere - 1991 - Noûs 25 (3):386-388.
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  • Science and Scepticism.Fred D'Agostino & John Watkins - 1987 - Philosophical Quarterly 37 (146):104.
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  • Verisimilitude, Structuralism and Scientific Progress.Jesùs P. Zamora Bonilla - 1996 - Erkenntnis 44 (1):25 - 47.
    An epistemic notion of verisimilitude (as the 'degree in which a theory seems closer to the full truth to a scientific community') is defined in several ways. Application to the structuralist description of theories is carried out by introducing a notion of 'empirical regularity' in structuralist terms. It is argued that these definitions of verisimilitude can be used to give formal reconstructions of scientific methodologies such as falsificationism, conventionalism and normal science.
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  • Science and Values: The Aims of Science and Their Role in Scientific Debate.Larry Laudan - 1984 - University of California Press.
    Laudan constructs a fresh approach to a longtime problem for the philosopher of science: how to explain the simultaneous and widespread presence of both agreement and disagreement in science. Laudan critiques the logical empiricists and the post-positivists as he stresses the need for centrality and values and the interdependence of values, methods, and facts as prerequisites to solving the problems of consensus and dissent in science.
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  • What is Wrong with Verisimilitude.Joseph Wayne Smith - 1984 - Philosophy Research Archives 10:511-541.
    Karl Popper introduced the idea of verisimilitude to explicate the intuitive idea that a theory T2, even though it is strictly speaking false, may be closer to the truth than a competitor T1. However, as is now well known, the results of Pavel Tichý, John Harris and David Miller establish that on Popper’s qualitative theory of verisimilitude, a theory T2 could be closer to the truth than another theory T1 only if T2 contains no false sentences. This result has been (...)
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  • Scientific Explanation: Three Basic Conceptions.Wesley C. Salmon - 1984 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1984:293 - 305.
    By contrasting three general conceptions of scientific explanation, this paper seeks to clarify the explanandum and to exhibit the fundamental philosophical issues involved in the project of explicating scientific explanation. The three conceptions--epistemic, modal, and ontic--have both historical and contemporary importance. In the context of Laplacian determinism, they do not seem importantly distinct, but in the context of irreducibly statistical explanations, the three are seen to diverge sharply. The paper argues for a causal/mechanical version of the ontic conception, and concludes (...)
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  • Are All False Theories Equally False?Thomas Mormann - 1988 - British Journal for the Philosophy of Science 39 (4):505-519.
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  • On Popper's definitions of verisimilitude.Pavel Tichý - 1974 - British Journal for the Philosophy of Science 25 (2):155-160.
    2 Popper's Logical Definition of Verisimilitude. 3 Popper's Probabilistic Definition of Verisimilitude. 4 Conclusion.
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  • Truthlikeness and bayesian estimation.Ilkka Niiniluoto - 1986 - Synthese 67 (2):321 - 346.
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  • Truthlikeness: Comments on recent discussion.Ilkka Niiniluoto - 1978 - Synthese 38 (2):281 - 329.
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  • Realism, relativism, and constructivism.Ilkka Niiniluoto - 1991 - Synthese 89 (1):135 - 162.
    This paper gives a critical evaluation of the philosophical presuppositions and implications of two current schools in the sociology of knowledge: the Strong Programme of Bloor and Barnes; and the Constructivism of Latour and Knorr-Cetina. Bloor's arguments for his externalist symmetry thesis (i.e., scientific beliefs must always be explained by social factors) are found to be incoherent or inconclusive. At best, they suggest a Weak Programme of the sociology of science: when theoretical preferences in a scientific community, SC, are first (...)
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  • A note on verisimilitude and relativization to problems.Philippe Mongin - 1990 - Erkenntnis 33 (3):391-396.
    This note aims at critically assessing a little-noticed proposal made by Popper in the second edition of "Objective Knowledge" to the effect that verisimilitude of scientific theories should be made relative to the problems they deal with. Using a simple propositional calculus formalism, it is shown that the "relativized" definition fails for the very same reason why Popper's original concept of verisimilitude collapsed -- only if one of two theories is true can they be compared in terms of the suggested (...)
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  • Close enough to reference.David B. Martens - 1993 - Synthese 95 (3):357 - 377.
    This paper proposes a response to the duplication objection to the descriptive theory of singular mental reference. This objection involves hypothetical cases in each of which there are a pair of qualitatively indistinguishable objects and a thought that apparently refers to only one of the pair, despite the descriptive indistinguishability of the two objects. I identify a concept of reference-likeness or closeness to reference, which is related to the concept of genuine singular reference as the concept of truthlikeness or closeness (...)
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  • Approaching descriptive and theoretical truth.Theo A. F. Kuipers - 1982 - Erkenntnis 18 (3):343 - 378.
    In this article I give a naturalistic-cum-formal analysis of the relation between beauty, empirical success, and truth. The analysis is based on the one hand on a hypothetical variant of the so-called 'mere-exposure effect' which has been more or less established in experimental psychology regarding exposure-affect relationships in general and aesthetic appreciation in particular (Zajonc 1968; Temme 1983; Bornstein 1989; (Ye 2000). On the other hand it is based on the formal theory of truthlikeness and truth approximation as presented in (...)
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  • Naive and refined truth approximation.Theo A. F. Kuipers - 1992 - Synthese 93 (3):299 - 341.
    The naive structuralist definition of truthlikeness is an idealization in the sense that it assumes that all mistaken models of a theory are equally bad. The natural concretization is a refined definition based on an underlying notion of structurelikeness.In Section 1 the naive definition of truthlikeness of theories is presented, using a new conceptual justification, in terms of instantial and explanatory mistakes.
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  • What has science to do with truth?L. Jonathan Cohen - 1980 - Synthese 45 (3):489 - 510.
    Recent interest in the problem of verisimilitude stemmed originally from Popper's desire to provide a non-inductive criterion of merit that will select between two false theories) But the problem has also been taken up by others who are not committed to Popper's anti-inductivism. Indeed Ilkka Niiniluoto has argued that the estimated degree of truthlikeness of a generalisation g which is compatible with evidence e can be equated with the inductive probability of g on e, wherever g is a constituent in (...)
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  • The language dependence of accuracy.Eric Barnes - 1990 - Synthese 84 (1):59 - 95.
    David Miller has demonstrated to the satisfaction of a variety of philosophers that the accuracy of false quantitative theories is language dependent (cf. Miller 1975). This demonstration renders the accuracy-based mode of comparison for such theories obsolete. The purpose of this essay is to supply an alternate basis for theory comparison which in this paper is deemed the knowledge-based mode of quantitative theory comparison. It is argued that the status of a quantitative theory as knowledge depends primarily on the soundness (...)
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  • Beyond verisimilitude: A linguistically invariant basis for scientific progress.Eric Barnes - 1991 - Synthese 88 (3):309 - 339.
    This paper proposes a solution to David Miller's Minnesotan-Arizonan demonstration of the language dependence of truthlikeness (Miller 1974), along with Miller's first-order demonstration of the same (Miller 1978). It is assumed, with Peter Urbach, that the implication of these demonstrations is that the very notion of truthlikeness is intrinsically language dependent and thus non-objective. As such, truthlikeness cannot supply a basis for an objective account of scientific progress. I argue that, while Miller is correct in arguing that the number of (...)
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  • Approximate truth and scientific realism.Thomas Weston - 1992 - Philosophy of Science 59 (1):53-74.
    This paper describes a theory of accuracy or approximate truth and applies it to problems in the realist interpretation of scientific theories. It argues not only that realism requires approximate truth, but that an adequate theory of approximation also presupposes some elements of a realist interpretation of theories. The paper distinguishes approximate truth from vagueness, probability and verisimilitude, and applies it to problems of confirmation and deduction from inaccurate premises. Basic results are cited, but details appear elsewhere. Objections are surveyed, (...)
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  • Verisimilitude based on concept analysis.Ewa Orłowska - 1990 - Studia Logica 49 (3):307 - 320.
    In the paper ordering relations for comparison of verisimilitude of theories are introduced and discussed. The relations refer to semantic analysis of the results of theories, in particular to analysis of concepts the theories deal with.
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  • Verisimilitude by power relations.Graham Oddie - 1990 - British Journal for the Philosophy of Science 41 (1):129-135.
    A number of different theories of truthlikeness have been proposed, but most can be classified into one of two different main programmes: the probability-content programme and the likeness programme.1 In Brink and Heidema [1987] we are offered a further proposal, with the attraction of some novelty. I argue that while the heuristic path taken by the authors is rather remote from what they call ‘the well-worn paths’,2 in fact their point of arrival is rather closer to existing proposals within the (...)
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  • Goldstick and O’Neill on" Truer than".Ilkka Niiniluoto - 1991 - Philosophy of Science 58 (3):491-495.
    In a recent article, Goldstick and O'Neill propose a definition for the comparative "truer than" relation between rival propositions. This definition is studied here in a context where the concept of "convexity" is well defined for propositions. It turns out that the Goldstick-O'Neill definition gives a reasonable but very restricted sufficient condition for the "truer than" relation, but fails as a necessary condition.
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  • Approximations and truth spaces.Jean-Pierre Marquis - 1991 - Journal of Philosophical Logic 20 (4):375 - 401.
    Approximations form an essential part of scientific activity and they come in different forms: conceptual approximations (simplifications in models), mathematical approximations of various types (e.g. linear equations instead of non-linear ones, computational approximations), experimental approximations due to limitations of the instruments and so on and so forth. In this paper, we will consider one type of approximation, namely numerical approximations involved in the comparison of two results, be they experimental or theoretical. Our goal is to lay down the conceptual and (...)
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  • Partial convergence and approximate truth.Duncan Macintosh - 1994 - British Journal for the Philosophy of Science 45 (1):153-170.
    Scientific Realists argue that it would be a miracle if scientific theories were getting more predictive without getting closer to the truth; so they must be getting closer to the truth. Van Fraassen, Laudan et al. argue that owing to the underdetermination of theory by data (UDT) for all we know, it is a miracle, a fluke. So we should not believe in even the approximate truth of theories. I argue that there is a test for who is right: suppose (...)
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  • Truer.D. Goldstick & B. O'Neill - 1988 - Philosophy of Science 55 (4):583-597.
    When can one say that a new theory is truer than the old one it contradicts, even though neither is absolutely true? We are primarily concerned with the case in which the conflicting theories offer answers to the same questions, and so we do not introduce considerations of "logical width". We propose that part of the new theory is truer than part of the old one when the former part gets right whatever the latter-part got right while the former does (...)
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  • Truthlikeness, translation, and approximate causal explanation.Eric Barnes - 1995 - Philosophy of Science 62 (2):215-226.
    D. Miller's demonstrations of the language dependence of truthlikeness raise a profound problem for the claim that scientific progress is objective. In two recent papers (Barnes 1990, 1991) I argue that the objectivity of progress may be grounded on the claim that the aim of science is not merely truth but knowledge; progress thus construed is objective in an epistemic sense. In this paper I construct a new solution to Miller's problem grounded on the notion of "approximate causal explanation" which (...)
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  • Popper’s qualitative theory of verisimilitude.David Miller - 1974 - British Journal for the Philosophy of Science 25 (2):166-177.
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  • How to Tell When Simpler, More Unified, or Less A d Hoc Theories Will Provide More Accurate Predictions.Malcolm R. Forster & Elliott Sober - 1994 - British Journal for the Philosophy of Science 45 (1):1-35.
    Traditional analyses of the curve fitting problem maintain that the data do not indicate what form the fitted curve should take. Rather, this issue is said to be settled by prior probabilities, by simplicity, or by a background theory. In this paper, we describe a result due to Akaike [1973], which shows how the data can underwrite an inference concerning the curve's form based on an estimate of how predictively accurate it will be. We argue that this approach throws light (...)
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  • A verisimilar ordering of theories phrased in a propositional language.Chris Brink & Johannes Heidema - 1987 - British Journal for the Philosophy of Science 38 (4):533-549.
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  • Realism and Truth.Michael Devitt - 2000 - Noûs 34 (4):657-663.
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  • Truthlikeness without Truth: A Methodological Approach.Jesús P. Zamora Bonilla - 1992 - Synthese 93 (3):343-372.
    In this paper, an attempt is made to solve various problems posed to current theories of verisimilitude: the problem of linguistic variance; the problem of which are the best scientific methods for getting the most verisimilar theories; and the question of the ontological commitment in scientific theories. As a result of my solution to these problems, and with the help of other considerations of epistemological character, I conclude that the notion of 'Tarskian truth' is dispensable in a rational interpretation of (...)
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  • A measure for the distance between an interval hypothesis and the truth.Roberto Festa - 1986 - Synthese 67 (2):273 - 320.
    The problem of distance from the truth, and more generally distance between hypotheses, is considered here with respect to the case of quantitative hypotheses concerning the value of a given scientific quantity.Our main goal consists in the explication of the concept of distance D(I, ) between an interval hypothesis I and a point hypothesis . In particular, we attempt to give an axiomatic foundation of this notion on the basis of a small number of adequacy conditions.
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  • A semantic approach to comparative verisimilitude.Giorgio Volpe - 1995 - British Journal for the Philosophy of Science 46 (4):563-581.
    The importance of the comparative notion of versimilitude, or truthlikeness, for a realist conception of knowledge follows from two modest ‘realist’ assumptions, namely, that the aim of an enquiry, as an enquiry, is the truth of some matter; and that one false theory may realize this aim better than another. However, there seem to be two ways in which one (false) theory can realize this aim better than another. One (false) theory can be closer to the truth than another either (...)
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  • Measuring truthlikeness.R. D. Rosenkrantz - 1980 - Synthese 45 (3):463 - 487.
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  • Verisimilitude vs. legisimilitude.Ilkka Niiniluoto - 1983 - Studia Logica 42 (2-3):315 - 329.
    The recent theories of truthlikeness have not paid attention to the distinction between lawlike and accidental generalizations. L.J. Cohen has expressed this by saying that science aims at legisimilitude rather than verisimilitude. G. Oddie has given a reply to Cohen by defining the notion of legisimilitude in terms of higher-order logics. This paper gives a different reply to Cohen by treating laws as physically necessary generalizations and by defining the notion of legisimilitude as closeness to a suitably chosen lawlike sentence.
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  • Review: Some Logical Mensuration. [REVIEW]David W. Miller - 1990 - British Journal for the Philosophy of Science 41 (2):281 - 290.
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  • On the aim of the theory of verisimilitude.I. A. Kieseppä - 1996 - Synthese 107 (3):421 - 438.
    J. P. Z. Bonilla's methodological approach to truthlikeness is evaluated critically. On a more general level, various senses in which the theory of truthlikeness could be seen as a theory concerned with methodology are distinguished, and it is argued that providing speical sciences with methodological tools is unrealistic as an aim of the theory of verisimilitude. Rather, when developing this theory, one should rest contnet with the more modest aim of conceptual analysis, or of providing explications for the relational concept (...)
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  • Conjectures et réfutations.Karl R. Popper, Michelle-irène & Marc B. de Launay - 1987 - Revue Philosophique de la France Et de l'Etranger 177 (1):90-92.
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  • Estimation and error free information.Isaac Levi - 1986 - Synthese 67 (2):347 - 360.
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  • Truthlikeness for hypotheses expressed in terms of N quantitative variables.I. A. Kieseppä - 1996 - Journal of Philosophical Logic 25 (2):109 - 134.
    A qualitative theory of truthlikeness, based on a family of quantitative measures, is developed for hypotheses that are concerned with the values of a finite number of real-valued quantities. Representing hypotheses by subsets of $R^{n}$ , I first show that a straightforward application of the basic ideas of the similarity approach to truthlikeness does not work out for hypotheses with zero n-dimensional Lebesgue measure. However, it is easy to give a counterpart for the average measure preferred by Pavel Tichý and (...)
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  • What is Wrong with Verisimilitude.Joseph Wayne Smith - 1984 - Philosophy Research Archives 10:511-541.
    Karl Popper introduced the idea of verisimilitude to explicate the intuitive idea that a theory T2, even though it is strictly speaking false, may be closer to the truth than a competitor T1. However, as is now well known, the results of Pavel Tichý, John Harris and David Miller establish that on Popper’s qualitative theory of verisimilitude, a theory T2 could be closer to the truth than another theory T1 only if T2 contains no false sentences. This result has been (...)
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  • Critical realism in progress: Reflections on Ilkka Niiniluoto's philosophy of science. [REVIEW]David Pearce - 1987 - Erkenntnis 27 (2):147 - 171.
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  • Truthlikeness misapplied: A reply to Ernest W. Adams.Ilkka Niiniluoto - 1994 - Synthese 101 (2):291 - 300.
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  • Some logical mensuration. [REVIEW]David W. Miller - 1990 - British Journal for the Philosophy of Science 41 (2):281-290.
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  • Verisimilitude and Type Hierarchies.Jerrold L. Aronson - 1990 - Philosophical Topics 18 (2):5-28.
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  • Using Scott domains to explicate the notions of approximate and idealized data.Ronald Laymon - 1987 - Philosophy of Science 54 (2):194-221.
    This paper utilizes Scott domains (continuous lattices) to provide a mathematical model for the use of idealized and approximately true data in the testing of scientific theories. Key episodes from the history of science can be understood in terms of this model as attempts to demonstrate that theories are monotonic, that is, yield better predictions when fed better or more realistic data. However, as we show, monotonicity and truth of theories are independent notions. A formal description is given of the (...)
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  • Comparing theories by their positive and negative contents.Isabella C. Burger & Johannes Heidema - 1994 - British Journal for the Philosophy of Science 45 (2):605-630.
    relative to the actual world) of a propositional theory are defined. A theory is ‘closer to the truth’ the logically stronger its positive content and the logically weaker its negative content. This proposal delivers the same verisimilar preordering of theories that has been defined by Brink and Heidema as a ‘power ordering’. The preordering may be collapsed to a partial ordering and then embedded into a complete distributive lattice. The preordering may also be refined to a partial ordering by employing (...)
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  • Similarity as an Intertheory Relation.Geoffrey Gorham - 1996 - Philosophy of Science 63 (5):S220-S229.
    In line with the semantic conception of scientific theories, I develop an account of the intertheory relation of comparative structural similarity. I argue that this relation is useful in explaining the concept of verisimilitude and I support this contention with a concrete historical example. Finally, I defend this relation against the familiar charge that the concept of similarity is insufficiently objective.
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