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  1. Quine's Conception of Explication: and Why It Isn't Carnap's.Martin Gustafsson - 2013 - In Gilbert Harman & Ernest LePore (eds.), A Companion to W. V. O. Quine. Wiley-Blackwell.
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  • Logical foundations of probability.Rudolf Carnap - 1950 - Chicago]: Chicago University of Chicago Press.
    APA PsycNET abstract: This is the first volume of a two-volume work on Probability and Induction. Because the writer holds that probability logic is identical with inductive logic, this work is devoted to philosophical problems concerning the nature of probability and inductive reasoning. The author rejects a statistical frequency basis for probability in favor of a logical relation between two statements or propositions. Probability "is the degree of confirmation of a hypothesis (or conclusion) on the basis of some given evidence (...)
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  • Measuring the Size of Infinite Collections of Natural Numbers: Was Cantor’s Theory of Infinite Number Inevitable?Paolo Mancosu - 2009 - Review of Symbolic Logic 2 (4):612-646.
    Cantor’s theory of cardinal numbers offers a way to generalize arithmetic from finite sets to infinite sets using the notion of one-to-one association between two sets. As is well known, all countable infinite sets have the same ‘size’ in this account, namely that of the cardinality of the natural numbers. However, throughout the history of reflections on infinity another powerful intuition has played a major role: if a collectionAis properly included in a collectionBthen the ‘size’ ofAshould be less than the (...)
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  • Conceptions of Set and the Foundations of Mathematics.Luca Incurvati - 2020 - Cambridge University Press.
    Sets are central to mathematics and its foundations, but what are they? In this book Luca Incurvati provides a detailed examination of all the major conceptions of set and discusses their virtues and shortcomings, as well as introducing the fundamentals of the alternative set theories with which these conceptions are associated. He shows that the conceptual landscape includes not only the naïve and iterative conceptions but also the limitation of size conception, the definite conception, the stratified conception and the graph (...)
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  • Introduction.Johan van Benthem, Theo Kuipers & Henk Visser - 2011 - Synthese 179 (2):203-206.
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  • Kolmogorov and mathematical logic.Vladimir A. Uspensky - 1992 - Journal of Symbolic Logic 57 (2):385-412.
  • Solvable and Unsolvable Problems.A. M. Turing - 1955 - Journal of Symbolic Logic 20 (1):74-74.
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  • On Computable Numbers, with an Application to the Entscheidungsproblem.Alan Turing - 1936 - Proceedings of the London Mathematical Society 42 (1):230-265.
  • Was Carnap entirely wrong, after all?Howard Stein - 1992 - Synthese 93 (1-2):275-295.
  • Squeezing arguments.P. Smith - 2011 - Analysis 71 (1):22-30.
    Many of our concepts are introduced to us via, and seem only to be constrained by, roughand-ready explanations and some sample paradigm positive and negative applications. This happens even in informal logic and mathematics. Yet in some cases, the concepts in question – although only informally and vaguely characterized – in fact have, or appear to have, entirely determinate extensions. Here’s one familiar example. When we start learning computability theory, we are introduced to the idea of an algorithmically computable function (...)
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  • A Note on the Relation Between Formal and Informal Proof.Jörgen Sjögren - 2010 - Acta Analytica 25 (4):447-458.
    Using Carnap’s concept explication, we propose a theory of concept formation in mathematics. This theory is then applied to the problem of how to understand the relation between the concepts formal proof and informal, mathematical proof.
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  • Step by recursive step: Church's analysis of effective calculability.Wilfried Sieg - 1997 - Bulletin of Symbolic Logic 3 (2):154-180.
    Alonzo Church's mathematical work on computability and undecidability is well-known indeed, and we seem to have an excellent understanding of the context in which it arose. The approach Church took to the underlying conceptual issues, by contrast, is less well understood. Why, for example, was "Church's Thesis" put forward publicly only in April 1935, when it had been formulated already in February/March 1934? Why did Church choose to formulate it then in terms of Gödel's general recursiveness, not his own λ (...)
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  • An Abstract Model For Parallel Computations: Gandy’s Thesis.Wilfried Sieg & John Byrnes - 1999 - The Monist 82 (1):150-164.
    Wilfried Sieg and John Byrnes. AnModel for Parallel Computation: Gandy's Thesis.
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  • X - Phi and Carnapian Explication.Joshua Shepherd & James Justus - 2015 - Erkenntnis 80 (2):381-402.
    The rise of experimental philosophy has placed metaphilosophical questions, particularly those concerning concepts, at the center of philosophical attention. X-phi offers empirically rigorous methods for identifying conceptual content, but what exactly it contributes towards evaluating conceptual content remains unclear. We show how x-phi complements Rudolf Carnap’s underappreciated methodology for concept determination, explication. This clarifies and extends x-phi’s positive philosophical import, and also exhibits explication’s broad appeal. But there is a potential problem: Carnap’s account of explication was limited to empirical and (...)
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  • Can Church’s thesis be viewed as a Carnapian explication?Paula Quinon - 2019 - Synthese 198 (Suppl 5):1047-1074.
    Turing and Church formulated two different formal accounts of computability that turned out to be extensionally equivalent. Since the accounts refer to different properties they cannot both be adequate conceptual analyses of the concept of computability. This insight has led to a discussion concerning which account is adequate. Some authors have suggested that this philosophical debate—which shows few signs of converging on one view—can be circumvented by regarding Church’s and Turing’s theses as explications. This move opens up the possibility that (...)
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  • Formal Reductions of the General Combinatorial Decision Problem.Emil L. Post - 1943 - Journal of Symbolic Logic 8 (1):50-52.
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  • Carnapian explication, formalisms as cognitive tools, and the paradox of adequate formalization.Catarina Dutilh Novaes & Erich Reck - 2017 - Synthese 194 (1):195-215.
    Explication is the conceptual cornerstone of Carnap’s approach to the methodology of scientific analysis. From a philosophical point of view, it gives rise to a number of questions that need to be addressed, but which do not seem to have been fully addressed by Carnap himself. This paper reconsiders Carnapian explication by comparing it to a different approach: the ‘formalisms as cognitive tools’ conception. The comparison allows us to discuss a number of aspects of the Carnapian methodology, as well as (...)
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  • S. C. Kleene. General recursive functions of natural numbers. Mathematische Annalen, Bd. 112 (1935–1936), S. 727–742.S. C. Kleene - 1937 - Journal of Symbolic Logic 2 (1):38-38.
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  • Carnap on concept determination: methodology for philosophy of science. [REVIEW]James Justus - 2012 - European Journal for Philosophy of Science 2 (2):161-179.
    Abstract Recent criticisms of intuition from experimental philosophy and elsewhere have helped undermine the authority of traditional conceptual analysis. As the product of more empirically informed philosophical methodology, this result is compelling and philosophically salutary. But the negative critiques rarely suggest a positive alternative. In particular, a normative account of concept determination—how concepts should be characterized—is strikingly absent from such work. Carnap's underappreciated theory of explication provides such a theory. Analyses of complex concepts in empirical sciences illustrates and supports this (...)
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  • The Tarskian Turn: Deflationism and Axiomatic Truth.Leon Horsten - 2011 - MIT Press.
    The work of mathematician and logician Alfred Tarski (1901--1983) marks the transition from substantial to deflationary views about truth.
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  • An explication of 'explication'.Joseph F. Hanna - 1968 - Philosophy of Science 35 (1):28-44.
    It is generally agreed that the method of explication consists in replacing a vague, presystematic notion (the explicandum) with a precise notion (the explicatum) formulated in a systematic context. However, Carnap and others who have used this and related terms appear to hold inconsistent views as to what constitutes an adequate explication. The central feature of the present explication of 'explication' is the correspondence condition: permitting the explicandum to deviate from some established "ordinary-language" conventions but, at the same time, requiring (...)
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  • The concept of logical consequence.John Etchemendy - 1990 - Cambridge, Mass.: Harvard University Press.
    Of course we all know now that mathematics has proved that logic doesn't really make sense, but Etchemendy (philosophy, Stanford Univ.) goes further and challenges the received view of the conceptual underpinnings of modern logic by arguing that Tarski's model-theoretic analysis of logical consequences is wrong. He may have found the soft underbelly of the dead horse. Annotation copyrighted by Book News, Inc., Portland, OR.
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  • A natural axiomatization of computability and proof of Church’s thesis.Nachum Dershowitz & Yuri Gurevich - 2008 - Bulletin of Symbolic Logic 14 (3):299-350.
    Church's Thesis asserts that the only numeric functions that can be calculated by effective means are the recursive ones, which are the same, extensionally, as the Turing-computable numeric functions. The Abstract State Machine Theorem states that every classical algorithm is behaviorally equivalent to an abstract state machine. This theorem presupposes three natural postulates about algorithmic computation. Here, we show that augmenting those postulates with an additional requirement regarding basic operations gives a natural axiomatization of computability and a proof of Church's (...)
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  • Explicating ‘Explication’ via Conceptual Spaces.Matteo De Benedetto - 2020 - Erkenntnis 87 (2):853-889.
    Recent years have witnessed a revival of interest in the method of explication as a procedure for conceptual engineering in philosophy and in science. In the philosophical literature, there has been a lively debate about the different desiderata that a good explicatum has to satisfy. In comparison, the goal of explicating the concept of explication itself has not been central to the philosophical debate. The main aim of this work is to suggest a way of filling this gap by explicating (...)
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  • Explicating ‘Explication’ via Conceptual Spaces.Matteo De Benedetto - 2022 - Erkenntnis 87 (2):853-889.
    Recent years have witnessed a revival of interest in the method of explication as a procedure for conceptual engineering in philosophy and in science. In the philosophical literature, there has been a lively debate about the different desiderata that a good explicatum has to satisfy. In comparison, the goal of explicating the concept of explication itself has not been central to the philosophical debate. The main aim of this work is to suggest a way of filling this gap by explicating (...)
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  • An Unsolvable Problem of Elementary Number Theory.Alonzo Church - 1936 - Journal of Symbolic Logic 1 (2):73-74.
  • The Logical Foundations of Probability. [REVIEW]Rudolf Carnap - 1950 - Journal of Philosophy 60 (13):362-364.
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  • An Abstract Model For Parallel Computations.John Byrnes - 1999 - The Monist 82 (1):150-164.
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  • Explication as a Method of Conceptual Re-engineering.Georg Brun - 2016 - Erkenntnis 81 (6):1211-1241.
    Taking Carnap’s classic exposition as a starting point, this paper develops a pragmatic account of the method of explication, defends it against a range of challenges and proposes a detailed recipe for the practice of explicating. It is then argued that confusions are involved in characterizing explications as definitions, and in advocating precising definitions as an alternative to explications. Explication is better characterized as conceptual re-engineering for theoretical purposes, in contrast to conceptual re-engineering for other purposes and improving exactness for (...)
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  • Conceptual re-engineering: from explication to reflective equilibrium.Georg Brun - 2020 - Synthese 197 (3):925-954.
    Carnap and Goodman developed methods of conceptual re-engineering known respectively as explication and reflective equilibrium. These methods aim at advancing theories by developing concepts that are simultaneously guided by pre-existing concepts and intended to replace these concepts. This paper shows that Carnap’s and Goodman’s methods are historically closely related, analyses their structural interconnections, and argues that there is great systematic potential in interpreting them as aspects of one method, which ultimately must be conceived as a component of theory development. The (...)
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  • Carnap's ideal of explication and naturalism.Pierre Wagner (ed.) - 2012 - New York, NY: Palgrave-Macmillan.
    Carnap's ideal of explication has become a key concept in analytic philosophy and the basis of a method of analysis which may be considered as an alternative to various forms of naturalism, including Quine's conception of a naturalized epistemology. More recently, new light has been shed on this aspect of the classical Carnap-Quine debate by contemporary philosophers. Whereas Michael Friedman articulated a notion of relativized a priori which owes much to Carnap's internal/external distinction, André Carus attempted to restate Carnap's ideal (...)
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  • Carnap and Twentieth-Century Thought: Explication as Enlightenment.A. W. Carus - 2007 - New York: Cambridge University Press.
    Rudolf Carnap is widely regarded as one of the most important philosophers of the twentieth century. Born in Germany and later a US citizen, he was a founder of the philosophical movement known as Logical Empiricism. He was strongly influenced by a number of different philosophical traditions, and also by the German Youth Movement, the First World War, and radical socialism. This book places his central ideas in a broad cultural, political and intellectual context, showing how he synthesised many different (...)
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  • On formal and informal provability.Hannes Leitgeb - 2009 - In Ø. Linnebo O. Bueno (ed.), New Waves in Philosophy of Mathematics. pp. 263--299.
     
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  • What is an algorithm.Yuri Gurevich - 2012 - Lecture Notes in Computer Science.
  • Der wahrheitsbegriff in den formalisierten sprachen.Alfred Tarski - 1935 - Studia Philosophica 1:261--405.
  • Logical Foundations of Probability.Rudolf Carnap - 1950 - Mind 62 (245):86-99.
     
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  • Carnap’s Views on Conceptual Systems versus Natural Languages in Analytic Philosophy.Peter F. Strawson - 1963 - In Paul Arthur Schilpp (ed.), The Philosophy of Rudolf Carnap. Open Court: La Salle. pp. 503--518.
  • Carnapian Explication : A Case Study and Critique.Erich Reck - 2012 - In Pierre Wagner (ed.), Carnap's Ideal of Explication and Naturalism. London: Palgrave-Macmillan. pp. 96--116.
  • The Concept of Logical Consequence.John Etchemendy - 1990 - Mind 100 (3):382-385.
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  • Church's Thesis and Principles for Mechanisms.Robin Gandy - 1980 - In The Kleene Symposium. North-Holland. pp. 123--148.
  • Foundational analyses of computation.Yuri Gurevich - 2012 - In S. Barry Cooper (ed.), How the World Computes. pp. 264--275.
  • Calculations by Man and Machine: Conceptual Analysis.Wilfried Sieg - unknown
    Wilfried Sieg. Calculations by Man and Machine: Conceptual Analysis.
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  • The Concept of Logical Consequence.John Etchemendy - 1994 - Erkenntnis 41 (2):281-284.
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  • An Introduction to Gödel's Theorems.Peter Smith - 2009 - Bulletin of Symbolic Logic 15 (2):218-222.
     
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  • Calculations by Man and Machine: Mathematical Presentation.Wilfried Sieg - unknown
    Wilfried Sieg. Calculations by Man and Machine: Mathematical Presentation.
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  • K-Graph Machines: Generalizing Turing's Machines and Arguments.Wilfried Sieg & John Byrnes - unknown
    Wilfred Sieg and John Byrnes. K-Graph Machines: Generalizing Turing's Machines and Arguments.
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