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  1. Joseph Agassi (2011). Verisimilitude. Discusiones Filosóficas 12 (19):61 - 86.
  2. Eric Christian Barnes (1990). Beyond Truthlikeness: Toward a Linguistically Invariant Theory of Scientific Progress. Dissertation, Indiana University
    In the 1970's a problem arose for the viability of Popper's truthlikeness project. The problem, in short, was that all plausible measures of the truthlikeness of scientific theories were language dependent. This dissertation is primarily concerned to provide a substitute notion that can do the work 'verisimilitude' was intended to do without suffering from linguistic relativity. It is argued that the notion of 'knowledge', or 'knowledgelikeness', can suffice in this regard. ;Chapter One seeks to convince the reader that the notion (...)
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  3. Blumenberg Hans (2010). VIII. Terminologization of a Metaphor: From ‘Verisimilitude’ to ‘Probability’. In Hans Blumenberg (ed.), Paradigms for a Metaphorology. Cornell University Press. pp. 81-98.
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  4. Bonilla Jesùs P. Zamora (1996). Verisimilitude, Structuralism and Scientific Progress. 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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  5. Jerzy Brzezinski & Leszek Nowak (1992). Idealization Iii: Approximation and Truth. Rodopi.
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  6. Wilhelm Büttemeyer (2005). Popper on Definitions. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 36 (1):15-28.
    In the present paper I shall first summarize Popper's criticism of the traditional method of definition, and then go on to comment critically on his own views on the form and function of so-called nominalist definitions.
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  7. Gustavo Cevolani (2016). Carnapian Truthlikeness. Logic Journal of the IGPL 24 (4):542-556.
    Theories of truthlikeness (or verisimilitude) are currently being classified according to two independent distinctions: that between ‘content’ and ‘likeness’ accounts, and that between ‘conjunctive’ and ‘disjunctive’ ones. In this article, I present and discuss a new definition of truthlikeness, which employs Carnap’s notion of the content elements entailed by a theory or proposition, and is then labelled ‘Carnapian’. After studying in detail the properties and shortcomings of this definition, I argue that it occupies a unique position in the landscape of (...)
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  8. de Lavalette Gerard R. Renardel & D. Zwart Sjoerd (2011). Belief Revision and Verisimilitude Based on Preference and Truth Orderings. Erkenntnis 75 (2):237-254.
    In this rather technical paper we establish a useful combination of belief revision and verisimilitude according to which better theories provide better predictions, and revising with more verisimilar data results in theories that are closer to the truth. Moreover, this paper presents two alternative definitions of refined verisimilitude, which are more perspicuous than the algebraic version used in previous publications.
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  9. Joseph E. Earley (2005). Science and Partial Truth. Review of Metaphysics 59 (2):413-415.
  10. Roberto Festa (2007). Verisimilitude, Qualitative Theories, and Statistical Inferences. In Sami Pihlström, Panu Raatikainen & Matti Sintonen (eds.), Approaching Truth: Essays in Honour of Ilkka Niiniluoto. College Publications. pp. 143--178.
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  11. Allan Franklin (1988). How Nancy Cartwright Tells the Truth. British Journal for the Philosophy of Science 39 (4):527-529.
  12. Giangiacomo Gerla (1992). Distances, Diameters and Verisimilitude of Theories. Archive for Mathematical Logic 31 (6):407-414.
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  13. Otto-Joachim Grüsser (1988). Ein Erkenntnismodell Des Nikolaus Von Kues Und der Grad der Bewährung Einer Wissenschaftlichen Hypothese. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 19 (2):232-238.
    The degree of corroboration of a scientific hypothesis is an issue that has been repeatedly discussed in modern theory of sciences . In a preceding paper it was shown that the formulae advanced by Popper to calculate the degree of corroboration C are not very satisfactory because the probability values required in the computation of C are not available as a rule. Another equation to measure the degree of corroboration B was proposed ), whereby only the number n of unsuccessful (...)
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  14. Susan Haack (1987). Realism. Synthese 73 (2):275 - 299.
    Realism is multiply ambiguous. The central concern of Part 1 of this paper is to distinguish several of its many senses — four (Theoretical Realism, Cumulative Realism, Progressive Realism and Optimistic Realism) in which it refers to theses about the status of scientific theories, and five (Minimal Realism, Ambitious Absolutism, Transcendentalism, Nidealism, Scholastic Realism) in which it refers to theses about the nature of truth or truth-bearers. Because Realism has these several, largely independent, senses, the conventional wisdom that Tarski's theory (...)
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  15. G. Hempel (1990). The Significance of the Concept of Truth for the Critical Appraisal of Scientific Theories. Nuova Civiltà Delle Macchine 8 (4):109-113.
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  16. Shelby D. Hunt (2011). Theory Status, Inductive Realism, and Approximate Truth: No Miracles, No Charades. International Studies in the Philosophy of Science 25 (2):159 - 178.
    The concept of approximate truth plays a prominent role in most versions of scientific realism. However, adequately conceptualizing ?approximate truth? has proved challenging. This article argues that the goal of articulating the concept of approximate truth can be advanced by first investigating the processes by which science accords theories the status of accepted or rejected. Accordingly, this article uses a path diagram model as a visual heuristic for the purpose of showing the processes in science that are involved in determining (...)
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  17. Ingvar Johansson (forthcoming). In Defense of the Notion of Truthlikeness. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie:1-11.
    The notion of truthlikeness, coined by Karl Popper, has very much fallen into oblivion, but the paper defends it. It can be regarded in two different ways. Either as a notion that is meaningful only if some formal measure of degree of truthlikeness can be constructed; or as a merely non-formal comparative notion that nonetheless has important functions to fulfill. It is the latter notion that is defended; it is claimed that such a notion is needed for both a reasonable (...)
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  18. Keiichiro Kamino (1981). On Popper's Notion of Verisimilitude. Annals of the Japan Association for Philosophy of Science 6 (1):1-18.
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  19. Kevin T. Kelly & Clark Glymour (1989). Convergence to the Truth and Nothing but the Truth. Philosophy of Science 56 (2):185-220.
    One construal of convergent realism is that for each clear question, scientific inquiry eventually answers it. In this paper we adapt the techniques of formal learning theory to determine in a precise manner the circumstances under which this ideal is achievable. In particular, we define two criteria of convergence to the truth on the basis of evidence. The first, which we call EA convergence, demands that the theorist converge to the complete truth "all at once". The second, which we call (...)
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  20. Christian Kiefer (2009). Postmodern Romantic: Issues of Verisimilitude and Reader Response in Jim Harrison’s Dalva. Clio 38 (2):173-192.
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  21. I. A. Kieseppä (1996). Truthlikeness for Multidimensional, Quantitative Cognitive Problems.
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  22. Władysław Krajewski (1978). Approximative Truth of Fact-Statements, Laws, and Theories. Synthese 38 (2):275 - 279.
    The paper is a sketch of a conception of approximative truth (or verisimilitude). The concepts of relative error, and degree of inadequacy are introduced. By means of them the concept of truth-content of quantitative facts-statements, laws and theories is defined. Laws and theories accepted in science have a high truth-content, i.e. they are approximately true.
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  23. Theo A. F. Kuipers (forthcoming). Models, Postulates, and Generalized Nomic Truth Approximation. Synthese:1-21.
    The qualitative theory of nomic truth approximation, presented in Kuipers in his, in which ‘the truth’ concerns the distinction between nomic, e.g. physical, possibilities and impossibilities, rests on a very restrictive assumption, viz. that theories always claim to characterize the boundary between nomic possibilities and impossibilities. Fully recognizing two different functions of theories, viz. excluding and representing, this paper drops this assumption by conceiving theories in development as tuples of postulates and models, where the postulates claim to exclude nomic impossibilities (...)
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  24. Theo A. F. Kuipers (2014). Empirical Progress and Nomic Truth Approximation Revisited. Studies in History and Philosophy of Science Part A 46:64-72.
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  25. Theo A. F. Kuipers (2009). Empirical Progress and Truth Approximation by the 'Hypothetico-Probabilistic Method'. Erkenntnis 70 (3):313 - 330.
    Three related intuitions are explicated in this paper. The first is the idea that there must be some kind of probabilistic version of the HD-method, a ‘Hypothetico-Probabilistic (HP-) method’, in terms of something like probabilistic consequences, instead of deductive consequences. According to the second intuition, the comparative application of this method should also be functional for some probabilistic kind of empirical progress, and according to the third intuition this should be functional for something like probabilistic truth approximation. In all three (...)
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  26. Theo A. F. Kuipers (2009). Empirical Progress and Truth Approximation by the ‘Hypothetico-Probabilistic Method’. Erkenntnis 70 (3):313-330.
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  27. Theo A. F. Kuipers (2005). Another Start for Abduction Aiming at Empirical Progress: Reply to Joke Meheus. Poznan Studies in the Philosophy of the Sciences and the Humanities 83 (1):218-220.
    This paper primarily deals with the conceptual prospects for generalizing the aim of abduction from the standard one of explaining surprising or anomalous observations to that of empirical progress or even truth approximation. It turns out that the main abduction task then becomes the instrumentalist task of theory revision aiming at an empirically more successful theory, relative to the available data, but not necessarily compatible with them. The rest, that is, genuine empirical progress as well as observational, referential and theoretical (...)
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  28. Kuipers, Theo A. F., Cools, Kees & Hamminga, Bert, Truth Approximation by Concretization in Capital Structure Theory.
    This paper supplies a structuralist reconstruction of the Modigliani-Miller theory and shows that the economic literature following their results reports on research with an implicit strategy to come "closer-to-the-truth" in the modern technical sense in philosophy of science.
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  29. Ronald Laymon (1987). Using Scott Domains to Explicate the Notions of Approximate and Idealized Data. 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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  30. Duncan Macintosh (1994). Partial Convergence and Approximate Truth. 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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  31. Irene Mikenberg, Newton C. A. Costa & Rolando Chuaqui (1986). Pragmatic Truth and Approximation to Truth. Journal of Symbolic Logic 51 (1):201-221.
  32. Chris Mortensen (1978). A Theorem On Verisimilitude. Bulletin of the Section of Logic 7 (1):34-40.
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  33. I. Niiniluoto (1998). Truthlikeness: The Third Phase'. British Journal for the Philosophy of Science 49:1-31.
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  34. Ilkka Niiniluoto (2007). Idealization, Counterfactuals, and Truthlikeness. In Jerzy Brzeziński, Andrzej Klawiter, Theo A. F. Kuipers, Krzysztof Łastowski, Katarzyna Paprzycka & Piotr Przybysz (eds.), The Courage of Doing Philosophy: Essays Dedicated to Leszek Nowak. Rodopi. pp. 103--122.
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  35. Ilkka Niiniluoto (2002). 10 Truthlikeness and Economic Theories. In Uskali Mäki (ed.), Fact and Fiction in Economics: Models, Realism and Social Construction. Cambridge University Press. pp. 214.
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  36. Ilkka Niiniluoto (2000). Scepticism, Fallibilism, and Verisimilitude. Acta Philosophica Fennica 66:145-170.
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  37. Ilkka Niiniluoto (1998). Verisimilitude: The Third Period. British Journal for the Philosophy of Science 49 (1):1-29.
    The modern history of verisimilitude can be divided into three periods. The first began in 1960, when Karl Popper proposed his qualitative definition of what it is for one theory to be more truthlike than another theory, and lasted until 1974, when David Miller and Pavel Trich published their refutation of Popper's definition. The second period started immediately with the attempt to explicate truthlikeness by means of relations of similarity or resemblance between states of affairs (or their linguistic representations); the (...)
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  38. Ilkka Niiniluoto (1997). Theoretical Reference and Truthlikeness. In Julian Nida-Rümelin & Georg Meggle (eds.), Analyomen 2, Volume I: Logic, Epistemology, Philosophy of Science. De Gruyter. pp. 439-452.
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  39. Ilkka Niiniluoto (1982). Truthlikeness for Quantitative Statements. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:208 - 216.
    The most elaborate recent accounts of truthlikeness (verisimilitude) apply this notion primarily to generalizations in first-order languages with qualitative predicates. This paper outlines a new approach to the definition of truthlikeness for quantitative statements, including singular statements (point estimation), interval statements (interval estimation), and quantitative laws. In the case of laws, the basic issue is reduced to the topological problem of measuring the distance between two real-valued functions. The solution of this problem makes it possible to define also the notion (...)
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  40. Robert Northcott (2013). Verisimilitude: A Causal Approach. Synthese 190 (9):1471-1488.
    I present a new definition of verisimilitude, framed in terms of causes. Roughly speaking, according to it a scientific model is approximately true if it captures accurately the strengths of the causes present in any given situation. Against much of the literature, I argue that any satisfactory account of verisimilitude must inevitably restrict its judgments to context-specific models rather than general theories. We may still endorse—and only need—a relativized notion of scientific progress, understood now not as global advance but rather (...)
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  41. Graham Oddie (forthcoming). Truth and Truthlikeness. In Glanzberg M. (ed.), Oxford Handbook of Truth. Oxford University Press.
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  42. Graham Oddie (2013). The Content, Consequence and Likeness Approaches to Verisimilitude: Compatibility, Trivialization, and Underdetermination. Synthese 190 (9):1647-1687.
    Theories of verisimilitude have routinely been classified into two rival camps—the content approach and the likeness approach—and these appear to be motivated by very different sets of data and principles. The question thus naturally arises as to whether these approaches can be fruitfully combined. Recently Zwart and Franssen (Synthese 158(1):75–92, 2007) have offered precise analyses of the content and likeness approaches, and shown that given these analyses any attempt to meld content and likeness orderings violates some basic desiderata. Unfortunately their (...)
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  43. Graham Oddie (2008). Truthlikeness and Value. In Pihlstrom S. (ed.), Approaching Truth: Essays in Honour of Ilkka Niiniluoto. College Publications. pp. 225-40.
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  44. Graham Oddie (2001). Truth, Verification, Confirmation, Verisimilitude. In Smelser Niel J. (ed.), International Encyclopedia of the Social and Behavioral Sciences. Elsevier. pp. 12857-64.
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  45. Graham Oddie (1987). Truthlikeness and the Convexity of Propositions. In Kuipers T. (ed.), What is Closer-to-the-Truth. Rodopi. pp. 197-217.
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  46. Graham Oddie (1987). The Picture Theory of Truthlikeness. In Kuipers T. (ed.), What is Closer-to-the-Truth. Rodopi. pp. 25-46.
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  47. Graham Oddie (1986). Likeness to Truth. Reidel.
    What does it take for one proposition to be closer to the truth than another. In this, the first published monograph on the topic, Oddie develops a comprehensive theory that takes the likeness in truthlikeness seriously.
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  48. Graham Oddie (1978). Verisimilitude and Distance in Logical Space. Acta Philosophica Fennica 30 (2-4):227-43.
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  49. G. L. Pandit (1988). Science and Truthlikeness. Journal of the Indian Council of Philosophical Research 5.
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  50. Jiří Raclavský (2008). Conceptual Dependence of Verisimilitude Vindicated. A Farewell to Miller's Argument. Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 15 (3):369-382.
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