Search results for 'Idealisation' (try it on Scholar)

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  1. Robert Kowalenko (2009). How (Not) to Think About Idealisation and Ceteris Paribus -Laws. Synthese 167 (1):183 - 201.score: 24.0
    Semantic dispositionalism is the theory that a speaker’s meaning something by a given linguistic symbol is determined by her dispositions to use the symbol in a certain way. According to an objection by Saul Kripke, further elaborated in Kusch (2005), semantic dispositionalism involves ceteris paribus-clauses and idealisations, such as unbounded memory, that deviate from standard scientific methodology. I argue that Kusch misrepresents both ceteris paribus-laws and idealisation, neither of which factually approximate the behaviour of agents or the course of (...)
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  2. Xavier Donato Rodríguedez & Jesús Zamora Bonilla (2009). Credibility, Idealisation, and Model Building: An Inferential Approach. Erkenntnis 70 (1).score: 18.0
    In this article we defend the inferential view of scientific models and idealisation. Models are seen as “inferential prostheses” (instruments for surrogative reasoning) construed by means of an idealisation-concretisation process, which we essentially understand as a kind of counterfactual deformation procedure (also analysed in inferential terms). The value of scientific representation is understood in terms not only of the success of the inferential outcomes arrived at with its help, but also of the heuristic power of representation and their (...)
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  3. C. A. Hooker (1994). Idealisation, Naturalism, and Rationality: Some Lessons From Minimal Rationality. Synthese 99 (2):181 - 231.score: 18.0
    In his bookMinimal Rationality (1986), Christopher Cherniak draws deep and widespread conclusions from our finitude, and not only for philosophy but also for a wide range of science as well. Cherniak's basic idea is that traditional philosophical theories of rationality represent idealisations that are inaccessible to finite rational agents. It is the purpose of this paper to apply a theory of idealisation in science to Cherniak's arguments. The heart of the theory is a distinction between idealisations that represent reversible, (...)
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  4. Xavier de Donato Rodríguez & Jesús Zamora Bonilla (2009). Credibility, Idealisation, and Model Building: An Inferential Approach. [REVIEW] Erkenntnis 70 (1):101 - 118.score: 18.0
    In this article we defend the inferential view of scientific models and idealisation. Models are seen as "inferential prostheses" (instruments for surrogative reasoning) construed by means of an idealisation-concretisation process, which we essentially understand as a kind of counterfactual deformation procedure (also analysed in inferential terms). The value of scientific representation is understood in terms not only of the success of the inferential outcomes arrived at with its help, but also of the heuristic power of representation and their (...)
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  5. Brian Weatherson (2012). Explanation, Idealisation and the Goldilocks Problem. [REVIEW] Philosophy and Phenomenological Research 84 (2):461-473.score: 15.0
    Michael Strevens’s book Depth is a great achievement.1 To say anything interesting, useful and true about explanation requires taking on fundamental issues in the metaphysics and epistemology of science. So this book not only tells us a lot about scientific explanation, it has a lot to say about causation, lawhood, probability and the relation between the physical and the special sciences. It should be read by anyone interested in any of those questions, which includes presumably the vast majority of readers (...)
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  6. Damian Cox (1998). Metaphysical Realism and Idealisation. Philosophia 26 (3-4):465-487.score: 15.0
    Hilary Putnam's famous model-theoretic arguments have the virtue of presenting metaphysical realists with a clear challenge. On pain of embracing either an implausible antifallibilism or the radical indeterminacy of reference, metaphysical realists must appeal to metalinguistic levels of interpretation richer than our own in order to fix meaning. And sense must be made of this appeal. In this paper I begin the task of developing a version of metaphysical realism that takes up this challenge.
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  7. Nancy Cartwright (1995). False Idealisation: A Philosophical Threat to Scientific Method. Philosophical Studies 77 (2-3):339 - 352.score: 15.0
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  8. N. G. L. Hammond (1947). Sparta François Ollier: Le Mirage spartiate. IIe Partie. Étude sur l'idéalisation de Sparte dans l'antiquité grecque du début de l'école cynique jusqu'à lafin de la cité. (Annales de l'Université de Lyon, Troisième Série, Lettres, Fascicule 13.) Pp. 220. Paris: 'Les Belles Lettres', 1943. Paper. [REVIEW] The Classical Review 61 (01):26-27.score: 15.0
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  9. S. Körner (1964). Deductive Unification and Idealisation. British Journal for the Philosophy of Science 14 (56):274-284.score: 15.0
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  10. Alan Blakeway (1935). The Spartan Illusion F. Ollier: Le Mirage Spartiate. Etude Sur l'Idéalisation de Sparte Dans I'antiquityé Grecque de l'Origine Jusqu'aux Cyniques. Pp. Ii+447. Paris: De Boccard, 1933. Paper. [REVIEW] The Classical Review 49 (05):184-185.score: 15.0
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  11. John Dewey (1887). Knowledge as Idealisation. Mind 12 (47):382-396.score: 15.0
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  12. Luciano Boi (1995). Conception “Dynamique” En Géométrie, Idéalisation Et Rôle de L'Intuition. Theoria 10 (1):145-161.score: 15.0
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  13. B. Bourgeois (1993). L'idealisation Kantienne de la république : Kant contre Rousseau. Tijdschrift Voor Filosofie 55 (2):293 - 306.score: 15.0
    According to Kant there is not just a current 'republican morality', as if a republic could be anything else but morality. The republican state is the morality of politics. However, this does not mean that politics has to be made subservient to the ethical order. In itself the state implies for everybody the absolute requirement of submission to the law. Republican morality might and should inspire whichever political body, since the republic is neither a structure (a form of sovereignty) nor (...)
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  14. Xavier de Donato Rodríguez & Jesús Zamora Bonilla (2009). Credibility, Idealisation, and Model Building: An Inferential Approach. Erkenntnis 70 (1):101-118.score: 15.0
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  15. Demetris P. Portides (2007). The Relation Between Idealisation and Approximation in Scientific Model Construction. Science and Education 16 (7-8):699-724.score: 15.0
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  16. Steffen Ducheyne (forthcoming). " Ignorance is Bliss": On Bernard Nieuwentijt's Docta Ignorantia and His Insight in Scientific Idealisation. Rivista di Storia Della Filosofia.score: 15.0
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  17. Xavier De Donato Rodriguez & Jesus Zamora Bonilla (2009). Credibility, Idealisation, and Model Building: An Inferential Approach. Erkenntnis 70 (1):101-118.score: 15.0
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  18. Xavier Donato Rodríguez & Jesús Zamora Bonilla (2009). Credibility, Idealisation, and Model Building: An Inferential Approach. Erkenntnis 70 (1):101-118.score: 15.0
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  19. Ladislav Kvasz (2012). On Idealisation in the Exact Sciences. Filosoficky Casopis 60 (4):483-503.score: 15.0
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  20. M. Strauss (1946). Ist Die Limes-Theorie der Wahrscheinlichkeit Eine Sinnvolle Idealisation? Synthese 5 (1-2):90 - 91.score: 15.0
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  21. T. Wojewodzki (1988). Prémisses d'idéalisation dans les sciences médicales. Zagadnienia Naukoznawstwa 24 (23):57-70.score: 15.0
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  22. Mark Colyvan (2013). Idealisations in Normative Models. Synthese 190 (8):1337-1350.score: 8.0
    In this paper I discuss the kinds of idealisations invoked in normative theories—logic, epistemology, and decision theory. I argue that very often the so-called norms of rationality are in fact mere idealisations invoked to make life easier. As such, these idealisations are not too different from various idealisations employed in scientific modelling. Examples of the latter include: fluids are incompressible (in fluid mechanics), growth rates are constant (in population ecology), and the gravitational influence of distant bodies can be ignored (in (...)
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  23. Saffron Clackson (2008). Ronald Dworkin's “Prudent Insurance” Ideal for Healthcare: Idealisations of Circumstance, Prudence and Self-Interest. [REVIEW] Health Care Analysis 16 (1):31-38.score: 8.0
    I will focus on Dworkin’s use of idealisation in his “Prudent Insurance” Ideal for healthcare. Dworkin identifies problems with the circumstances under which people make their insurance decisions in the current United States healthcare system and he sees these as being the cause of strange resource allocation outcomes. He therefore imagines idealising away these prima facie unjust circumstances to develop a hypothetical market in which people are able to make better decisions (Section “Idealisation of Circumstance”). I will identify (...)
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  24. Paul Moyaert (2001). De Hoofse Liefde: Sublimering Door Idealisering? Tijdschrift Voor Filosofie 63 (3):569 - 592.score: 8.0
    I argue that courtly love can throw a new light upon two major problems in Freud's theory of sublimation. For Freud sublimation is the procès in which the sexual aim of the drives is diverted towards a non-sexual aim that is still related with the original one. The first problem regards the relation between the terminus a quo and the terminus ad quern. Freud describes this relation with different terms. The notion of ‘desexualisation’ represents precisely what he has in mind. (...)
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  25. Salvatore Florio & Julien Murzi (2009). The Paradox of Idealization. Analysis 69 (3):461-469.score: 6.0
    A well-known proof by Alonzo Church, first published in 1963 by Frederic Fitch, purports to show that all truths are knowable only if all truths are known. This is the Paradox of Knowability. If we take it, quite plausibly, that we are not omniscient, the proof appears to undermine metaphysical doctrines committed to the knowability of truth, such as semantic anti-realism. Since its rediscovery by Hart and McGinn ( 1976), many solutions to the paradox have been offered. In this article, (...)
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  26. Demetris P. Portides (2005). A Theory of Scientific Model Construction: The Conceptual Process of Abstraction and Concretisation. [REVIEW] Foundations of Science 10 (1):67-88.score: 6.0
    The process of abstraction and concretisation is a label used for an explicative theory of scientific model-construction. In scientific theorising this process enters at various levels. We could identify two principal levels of abstraction that are useful to our understanding of theory-application. The first level is that of selecting a small number of variables and parameters abstracted from the universe of discourse and used to characterise the general laws of a theory. In classical mechanics, for example, we select position and (...)
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  27. Julien Murzi (2010). Knowability and Bivalence: Intuitionistic Solutions to the Paradox of Knowability. [REVIEW] Philosophical Studies 149 (2):269 - 281.score: 6.0
    In this paper, I focus on some intuitionistic solutions to the Paradox of Knowability. I first consider the relatively little discussed idea that, on an intuitionistic interpretation of the conditional, there is no paradox to start with. I show that this proposal only works if proofs are thought of as tokens, and suggest that anti-realists themselves have good reasons for thinking of proofs as types. In then turn to more standard intuitionistic treatments, as proposed by Timothy Williamson and, most recently, (...)
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  28. S. Ducheyne (2008). Towards an Ontology of Scientific Models. Metaphysica 9 (1):119-127.score: 6.0
    Scientific models occupy centre stage in scientific practice. Correspondingly, in recent literature in the philosophy of science, scientific models have been a focus of research. However, little attention has been paid so far to the ontology of scientific models. In this essay, I attempt to clarify the issues involved in formulating an informatively rich ontology of scientific models. Although no full-blown theory—containing all ontological issues involved—is provided, I make several distinctions and point to several characteristic properties exhibited by scientific models (...)
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  29. Stephen Pratten (2007). The Scope of Ontological Theorising. Foundations of Science 12 (3):235-256.score: 6.0
    In recent years there have been an increasing number of contributions to economic methodology that develop or seek to reveal ontological positions. Despite this there is no agreement about either what ontology is or how it can contribute to economics. For some ontological theorising reveals the presuppositions of economists and its role is largely descriptive. Others see ontology as primarily engaged in setting out and defending a general account of some domain of reality and suggest that such a conception can (...)
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  30. Steve Fleetwood (2012). 'From Political Economy to Economics' and Beyond. Historical Materialism 20 (3):61-80.score: 6.0
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  31. Éric Bourneuf (1991). La structure de la théorie physique et son contenu empirique. Le problème des idéalisations et des fictions. Dialogue 30 (04):447-.score: 5.0
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  32. Maree Raftos, Debra Jackson & Judy Mannix (1998). Idealised Versus Tainted Femininity: Discourses of the Menstrual Experience in Australian Magazines That Target Young Women. Nursing Inquiry 5 (3):174-186.score: 5.0
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  33. V. Fock (1965). La physique quantique et Les idéalisations classiques. Dialectica 19 (3‐4):223-245.score: 5.0
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  34. Lara Huber (2006). Patient Autonomy as a Non-Idealised “Naturalistic Autonomy”. Ethik in der Medizin 18:133-147.score: 5.0
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  35. Robert Fine (2009). Cosmopolitanism and Human Rights: Radicalism in a Global Age. Metaphilosophy 40 (1):8-23.score: 3.0
    Abstract: The cosmopolitan imagination constructs a world order in which the idea of human rights is an operative principle of justice. Does it also construct an idealisation of human rights? The radicality of Enlightenment cosmopolitanism, as developed by Kant, lay in its analysis of the roots of organised violence in the modern world and its visionary programme for changing the world. Today, the temptation that faces the cosmopolitan imagination is to turn itself into an endorsement of the existing order (...)
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  36. Ladislav Kvasz (1999). On Classification of Scientific Revolutions. Journal for General Philosophy of Science 30 (2):201-232.score: 3.0
    The question whether Kuhn's theory of scientific revolutions could be applied to mathematics caused many interesting problems to arise. The aim of this paper is to discuss whether there are different kinds of scientific revolution, and if so, how many. The basic idea of the paper is to discriminate between the formal and the social aspects of the development of science and to compare them. The paper has four parts. In the first introductory part we discuss some of the questions (...)
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  37. Jeff Kochan (2011). Husserl and the Phenomenology of Science. [REVIEW] Studies in History and Philosophy of Science 42 (3):467-471.score: 3.0
    This article critically reviews an outstanding collection of new essays addressing Edmund Husserl’s Crisis of European Sciences. In Science and the Life-World (Stanford, 2010), David Hyder and Hans-Jörg Rheinberger bring together an impressive range of first-rate philosophers and historians. The collection explicates key concepts in Husserl’s often obscure work, compares Husserl’s phenomenology of science to the parallel tradition of historical epistemology, and provocatively challenges Husserl’s views on science. The explications are uniformly clear and helpful, the comparative work intriguing, and the (...)
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  38. Greg Restall (2009). Truth Values and Proof Theory. Studia Logica 92 (2):241 - 264.score: 3.0
    I present an account of truth values for classical logic, intuitionistic logic, and the modal logic S5, in which truth values are not a fundamental category from which the logic is defined, but rather, an idealisation of more fundamental logical features in the proof theory for each system. The result is not a new set of semantic structures, but a new understanding of how the existing semantic structures may be understood in terms of a more fundamental notion of logical (...)
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  39. Kim Sterelny (2004). Language, Modularity, and Evolution. In David Papineau & Graham MacDonald (eds.), Teleosemantics: New Philosophical Essays. Oup. 23.score: 3.0
    Language is at the core of the cognitive revolution that has transformed that discipline over the last forty years or so, and it is also the central paradigm for the most prominent attempt to synthesise psychology and evolutionary theory. A single and distinctively modular view of language has emerged out of both these perspectives, one that encourages a certain idealisation. Linguistic competence is uniform, independent of other cognitive capacities, and with a developmental trajectory that is largely independent of environmental (...)
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  40. Thomas Uebel (2011). Carnap's Ramseyfications Defended. European Journal for Philosophy of Science 1 (1):71-87.score: 3.0
    This paper seeks to evaluate the potential of the Newman objection to function as an immanent critique of Carnap's use of the Ramsey method of regimenting scientific theories. Stress is laid on the distinctive way in which ramseyfications are used by Carnap to formulate the analytic/synthetic distinction for the theoretical language and on the difference between the ontological and the epistemic readings of the Newman objection. While the former reading of the Newman objection is rejected as trading on an assumption (...)
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  41. Mauricio Suárez (2004). Quantum Selections, Propensities and the Problem of Measurement. British Journal for the Philosophy of Science 55 (2):219 - 255.score: 3.0
    This paper expands on, and provides a qualified defence of, Arthur Fine's selective interactions solution to the measurement problem. Fine's approach must be understood against the background of the insolubility proof of the quantum measurement. I first defend the proof as an appropriate formal representation of the quantum measurement problem. The nature of selective interactions, and more generally selections, is then clarified, and three arguments in their favour are offered. First, selections provide the only known solution to the measurement problem (...)
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  42. Patrick Tomlin (2012). Should We Be Utopophobes About Democracy in Particular? Political Studies Review 10 (1):36-47.score: 3.0
    In his book Democratic Authority, David Estlund puts forward a case for democracy, which he labels epistemic proceduralism, that relies on democracy's ability to produce good – that is, substantively just – results. Alongside this case for democracy Estlund attacks what he labels ‘utopophobia’, an aversion to idealistic political theory. In this article I make two points. The first is a general point about what the correct level of ‘idealisation’ is in political theory. Various debates are emerging on this (...)
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  43. Mansoor Niaz (2008). A Rationale for Mixed Methods (Integrative) Research Programmes in Education. Journal of Philosophy of Education 42 (2):287-305.score: 3.0
    Recent research shows that research programmes (quantitative, qualitative and mixed) in education are not displaced (as suggested by Kuhn) but rather lead to integration. The objective of this study is to present a rationale for mixed methods (integrative) research programs based on contemporary philosophy of science (Lakatos, Giere, Cartwright, Holton, Laudan). This historical reconstruction of episodes from physical science (spanning a period of almost 300 years, 17 th to 20 th century) does not agree with the positivist image of science. (...)
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  44. Greg Restall, Truth Values.score: 3.0
    I present an account of truth values for classical logic, intuitionistic logic, and the modal logic s5, in which truth values are not a fundamental category from which the logic is defined, but rather, an idealisation of more fundamental logical features in the proof theory for each system. The result is not a new set of semantic structures, but a new understanding of how the existing semantic structures may be understood in terms of a more fundamental notion of logical (...)
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  45. Barbara Webb (2001). Can Robots Make Good Models of Biological Behaviour? Behavioral and Brain Sciences 24 (6):1033-1050.score: 3.0
    How should biological behaviour be modelled? A relatively new approach is to investigate problems in neuroethology by building physical robot models of biological sensorimotor systems. The explication and justification of this approach are here placed within a framework for describing and comparing models in the behavioural and biological sciences. First, simulation models – the representation of a hypothesis about a target system – are distinguished from several other relationships also termed “modelling” in discussions of scientific explanation. Seven dimensions on which (...)
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  46. Peter Fletcher (1989). Nonstandard Set Theory. Journal of Symbolic Logic 54 (3):1000-1008.score: 3.0
    Nonstandard set theory is an attempt to generalise nonstandard analysis to cover the whole of classical mathematics. Existing versions (Nelson, Hrbáček, Kawai) are unsatisfactory in that the unlimited idealisation principle conflicts with the wish to have a full theory of external sets. I re-analyse the underlying requirements of nonstandard set theory and give a new formal system, stratified nonstandard set theory, which seems to meet them better than the other versions.
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  47. Erik Palmgren (1998). Developments in Constructive Nonstandard Analysis. Bulletin of Symbolic Logic 4 (3):233-272.score: 3.0
    We develop a constructive version of nonstandard analysis, extending Bishop's constructive analysis with infinitesimal methods. A full transfer principle and a strong idealisation principle are obtained by using a sheaf-theoretic construction due to I. Moerdijk. The construction is, in a precise sense, a reduced power with variable filter structure. We avoid the nonconstructive standard part map by the use of nonstandard hulls. This leads to an infinitesimal analysis which includes nonconstructive theorems such as the Heine-Borel theorem, the Cauchy-Peano existence (...)
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  48. Fernando R. Velázquez-Quesada (2014). Dynamic Epistemic Logic for Implicit and Explicit Beliefs. Journal of Logic, Language and Information 23 (2):107-140.score: 3.0
    Epistemic logic with its possible worlds semantic model is a powerful framework that allows us to represent an agent’s information not only about propositional facts, but also about her own information. Nevertheless, agents represented in this framework are logically omniscient: their information is closed under logical consequence. This property, useful in some applications, is an unrealistic idealisation in some others. Many proposals to solve this problem focus on weakening the properties of the agent’s information, but some authors have argued (...)
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  49. François de Gandt (2004). Husserl Et Galilée: Sur la Crise des Sciences Européennes. Vrin.score: 3.0
    Le § 9 de la Krisis expose les étapes : idéalisation géométrique, mathématisation indirecte des qualités, induction savante, opérations aveugles du calcul. Une enquête historique confirme-t-elle le récit de Husserl ?
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  50. Alan Weir (2010). Truth Through Proof: A Formalist Foundation for Mathematics. OUP Oxford.score: 3.0
    Truth Through Proof defends an anti-platonist philosophy of mathematics derived from game formalism. Classic formalists claimed implausibly that mathematical utterances are truth-valueless moves in a game. Alan Weir aims to develop a more satisfactory successor to game formalism utilising a widely accepted, broadly neo-Fregean framework, in which the proposition expressed by an utterance is a function of both sense and background circumstance. This framework allows for sentences whose truth-conditions are not representational, which are made true or false by conditions residing (...)
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