Results for 'Humean event'

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  1.  77
    Humean Causation and Kim’s Theory of Events.Terence Horgan - 1980 - Canadian Journal of Philosophy 10 (4):663 - 679.
    In recent years Jaegwon Kim has propounded and elaborated an influential theory of events. He takes an event to be the exemplification of an empirical property by a concrete object at a time. He also has proposed and endorsed a version of the “Humean” tradition concerning causation: the view that causal relations between concrete events depend upon general "covering laws." But although his explication of the covering-law conception of causation seems quite natural within the framework of his theory, (...)
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  2.  89
    Intrinsic Causation in Humean Supervenience.Daniel Kodaj - 2014 - Ratio 28 (2):135-152.
    The paper investigates whether causation is extrinsic in Humean Supervenience in the sense that "being caused by" is an intrinsic relation between token causes and effects. The underlying goal is to test whether causality is extrinsic for Humeans and intrinsic for anti-Humeans in this sense. I argue that causation is typically extrinsic in HS, but it is intrinsic to event pairs that collectively most of the universe's history.
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  3.  38
    Humean Eyes ('one particular shade of blue').Angela Coventry & Emilio Mazza - 2016 - Cogent Arts and Humanities 3 (1).
    Why do Humean eyes matter? The subject of David Hume’s eyes and face leads us into some unexpected curiosities connected with events in his life and written works. We outline the scholars’ propensity to describe the face of their favourite philosopher and spread upon it their personal reading of his life and writings. We ask questions about portraits, their resemblance to the original as a standard of beauty. We survey eighteenth-century physiognomy, and the humourous paradox of the “fat philosopher,” (...)
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  4. The Best Humean System for Statistical Mechanics.Roman Frigg & Carl Hoefer - 2015 - Erkenntnis 80 (S3):551-574.
    Classical statistical mechanics posits probabilities for various events to occur, and these probabilities seem to be objective chances. This does not seem to sit well with the fact that the theory’s time evolution is deterministic. We argue that the tension between the two is only apparent. We present a theory of Humean objective chance and show that chances thus understood are compatible with underlying determinism and provide an interpretation of the probabilities we find in Boltzmannian statistical mechanics.
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  5. Humean Supervenience and Multidimensional Semantics.Hlynur Stefansson - 2014 - Erkenntnis 79 (6):1391-1406.
    What distinguishes indicative conditionals from subjunctive conditionals, according to one popular view, is that the so-called Adams’ thesis holds for the former kind of conditionals but the so-called Skyrms’ thesis for the latter. According to a plausible metaphysical view, both conditionals and chances supervene on non-modal facts. But since chances do not supervene on facts about particular events but facts about event-types, the past as well as the future is chancy. Some philosophers have worried that this metaphysical view is (...)
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  6.  57
    Naturalism, Functionalism and Chance: Not a Best Fit for the Humean.Alison Fernandes - 2023 - In Christian Loew, Siegfried Jaag & Michael Townsen Hicks (eds.), Humean Laws for Human Agents. Oxford: Oxford UP.
    How should we give accounts of scientific modal relations? According to the Humean, we should do so by considering the role of such relations in our lives and scientific theorizing. For example, to give a Humean account of chance, we need to identity a non-modal relation that can play the ‘role’ of chance—typically that of guiding credences and scientifically explaining events. Defenders of Humean accounts claim to be uniquely well placed to meet this aim. Humean chances (...)
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  7. Humeans Aren’t Out of their Minds.Brian Weatherson - 2007 - Noûs 41 (3):529–535.
    Humeanism is “the thesis that the whole truth about a world like ours supervenes on the spatiotemporal distribution of local qualities.” (Lewis, 1994, 473) Since the whole truth about our world contains truths about causation, causation must be located in the mosaic of local qualities that the Humean says constitute the whole truth about the world. The most natural ways to do this involve causation being in some sense extrinsic. To take the simplest possible Humean analysis, we might (...)
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  8. Of Humean bondage.Christopher Hitchcock - 2003 - British Journal for the Philosophy of Science 54 (1):1-25.
    There are many ways of attaching two objects together: for example, they can be connected, linked, tied or bound together; and the connection, link, tie or bind can be made of chain, rope, or cement. Every one of these binding methods has been used as a metaphor for causation. What is the real significance of these metaphors? They express a commitment to a certain way of thinking about causation, summarized in the following thesis: ‘In any concrete situation, there is an (...)
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  9. Rationalizing the Principal Principle for Non-Humean Chance.J. Khawaja - manuscript
    According to Humean theories of objective chance, the chances reduce to patterns in the history of occurrent events, such as frequencies. According to non-Humean accounts, the chances are metaphysically fundamental, existing independently of the "Humean Mosaic" of actually-occurring events. It is therefore possible, by the lights of non-Humeanism, for the chances and the frequencies to diverge wildly. Humeans often allege that this undermines the ability of non-Humean accounts of chance to rationalize adherence to David Lewis' Principal (...)
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  10.  6
    Determinism and chance from a Humean perspective.Friedrich Stadler - 2010 - In Thomas Uebel, Stephan Hartmann, Wenceslao Gonzalez, Marcel Weber, Dennis Dieks & Friedrich Stadler (eds.), The Present Situation in the Philosophy of Science. Springer. pp. 351-371.
    On the face of it ‘deterministic chance’ is an oxymoron: either a process is chancy or deterministic, but not both. Nevertheless, the world is rife with processes that seem to be exactly that: chancy and deterministic at once. Simple gambling devices like coins and dice are cases in point.2 On the one hand they are governed by deterministic laws – the laws of classical mechanics – and hence given the initial condition of, say, a coin it is determined whether it (...)
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  11. Resemblance-based resources for reductive singularism (or: How to be a Humean singularist about causation).Jessica Wilson - 2009 - The Monist 92 (1):153-190.
    Hume argued that experience could not justify commonly held beliefs in singular causal effcacy, according to which individual or singular causes produce their effects or make their effects happen. Hume's discussion has been influential, as motivating the view that Causal reductionism (denying that causal efficacy is an irreducible feature of natural reality) requires Causal generalism (according to which causal relations are metaphysically constituted by patterns of events). Here I argue that causal reductionists---indeed, Hume himself---have previously unappreciated resources for making sense (...)
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  12. Determinism and Chance from a Humean Perspective.Roman Frigg & Carl Hoefer - 2010 - In Thomas Uebel, Stephan Hartmann, Wenceslao Gonzalez, Marcel Weber, Dennis Dieks & Friedrich Stadler (eds.), The Present Situation in the Philosophy of Science. Springer. pp. 351--72.
    On the face of it ‘deterministic chance’ is an oxymoron: either an event is chancy or deterministic, but not both. Nevertheless, the world is rife with events that seem to be exactly that: chancy and deterministic at once. Simple gambling devices like coins and dice are cases in point. On the one hand they are governed by deterministic laws – the laws of classical mechanics – and hence given the initial condition of, say, a coin toss it is determined (...)
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  13.  33
    Chance in the World: A Humean Guide to Objective Chance.Carl Hoefer - 2018 - New York, NY, USA: Oup Usa.
    This book explains how we can understand objective chance in a metaphysically neutral way, as reducible to certain patterns that can be discerned in the actual events of our world.
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  14.  69
    Causes as proximate events: Thomas Brown and the Positivist interpretation of Hume on causality.Cristina Paoletti - 2011 - Studies in History and Philosophy of Science Part A 42 (1):37-44.
    A neglected episode in the intellectual history of the Scottish Enlightenment, Thomas Brown’s philosophy has been recently reassessed and reconnected with the emergence of the Positivist interpretation of David Hume. In fact, aiming to defend Hume’s philosophy from the common charges of atheism and scepticism, Brown popularised an interpretation of Humean texts which was later to become the standard view on Hume. In this essay, I aim to identify Brown’s historical sources and connect his reading of Hume with the (...)
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  15.  23
    The Art of Causal Conjecture.Glenn Shafer - 1996 - MIT Press.
    THE ART OF CAUSAL CONJECTURE Glenn Shafer Table of Contents Chapter 1. Introduction........................................................................................ ...........1 1.1. Probability Trees..........................................................................................3 1.2. Many Observers, Many Stances, Many Natures..........................................8 1.3. Causal Relations as Relations in Nature’s Tree...........................................9 1.4. Evidence............................................................................................ ...........13 1.5. Measuring the Average Effect of a Cause....................................................17 1.6. Causal Diagrams..........................................................................................20 1.7. Humean Events............................................................................................23 1.8. Three Levels of Causal Language................................................................27 1.9. An Outline of the Book................................................................................27 Chapter 2. Event Trees............................................................................................... .....31 2.1. Situations and Events...................................................................................32 2.2. The Ordering of Situations and Moivrean Events.......................................35 2.3. Cuts................................................................................................ ..............39 2.4. (...) Events............................................................................................43 2.5. Moivrean Variables......................................................................................49 2.6. Humean Variables........................................................................................53 2.7. Event Trees for Stochastic Processes...........................................................54 2.8. Timing in Event Trees.................................................................................56 2.9. Intersecting Event Trees...............................................................................60 2.10. Notes on the Literature...............................................................................61 Chapter 3. Probability Trees...........................................................................................63 3.1. Some Types of Probability Trees.................................................................64 ii 3.2. Axioms for the Probabilities of Moivrean Events.......................................68 3.3. Zero Probabilities....................................................................................... ..70 3.4. A Sample-Space Analysis of the Event-Tree Axioms.................................72 3.5. Probabilities and Expected Values for Variables.........................................74 3.6. Martingales......................................................................................... .........79 3.7. The Expectation of a Variable in a Cut........................................................83 3.8. Conditional Expected Value and Conditional Expectation.........................87 Chapter 4. The Meaning of Probability...........................................................................91 4.1. The Interpretation of Expected Value..........................................................92 4.2. The Interpretation of Expectation................................................................95 4.3. The Long Run..............................................................................................98 4.4. Changes in Belief.........................................................................................101 4.5. The Empirical Validation of Probability......................................................106 4.6. The Diversity of Uses of Probability...........................................................108 4.7. Notes on the Literature.................................................................................110 Chapter 5. Independent Events.......................................................................................113 5.1. Independence........................................................................................ .......114 5.2. Weak Independence.....................................................................................118 5.3. The Principle of the Common Cause...........................................................121 5.4. Conditional Independence............................................................................128 5.5. Notes on the Literature.................................................................................133 Chapter 6. Events Tracking Events.................................................................................135 6.1. Tracking............................................................................................ ...........137 6.2. Tracking and Conditional Independence.....................................................142 6.3. Stochastic Subsequence...............................................................................143 6.4. Singular Diagrams for Stochastic Subsequence...........................................147 6.5. Conjunctive and Interactive Forks...............................................................149 Chapter 7. Events as Signs of Events..............................................................................153 iii 7.1. Sign................................................................................................ ..............154 7.2. Weak Sign................................................................................................ ....159 7.3. The Ethics of Causal Talk............................................................................160 7.4. Screening Off...............................................................................................16 2 Chapter 8. Independent Variables...................................................................................167 8.1. Unconditional Independence........................................................................170 8.2. Conditional Independence............................................................................175 8.3. Independence for Partitions.........................................................................177 8.4. Independence for Families of Variables......................................................182 8.5. Individual Properties of the Independence Relations...................................186 Chapter 9. Variables Tracking Variables........................................................................189 9.1. Tracking and Conditional Independence: A Summary...............................190 9.2. Strong Tracking............................................................................................ 192 9.3. Strong Tracking and Conditional Independence..........................................198 9.4. Stochastic Subsequence...............................................................................201 9.5. Functional Dependence................................................................................203 9.6. Tracking in Mean.........................................................................................204 9.7. Linear Tracking............................................................................................ 207 9.8. Tracking by Partitions..................................................................................210 9.9. Tracking by Families of Variables...............................................................212 Chapter 10. Variables as Signs of Variables...................................................................215 10.1. Sign................................................................................................ ............219 10.2. Linear Sign................................................................................................ .222 10.3. Scored Sign................................................................................................ 225 10.4. Families of Variables.................................................................................227 Chapter 11. AnTheory of Event Trees.............................................................229 11.1. Event Trees as Sets of Sets........................................................................230 11.2. Event Trees as Partially Ordered Sets........................................................232 iv 11.3. Regular Event Trees...................................................................................240 11.4. The Resolution of Moivrean Variables......................................................244 11.5. Humean Events and Variables...................................................................246 Chapter 12. Martingale Trees..........................................................................................247 12.1. Examples of Decision Trees......................................................................249 12.2. The Meaning of Probability in a Decision Tree.........................................253 12.3. Martingales......................................................................................... .......257 12.4. The Structure of Martingale Trees.............................................................261 12.5. Probability and Causality...........................................................................265 12.6. Lower and Upper Probability.....................................................................269 12.7. The Law of Large Numbers.......................................................................272 12.8. Notes on the Literature...............................................................................274 Chapter 13. Refining............................................................................................ ...........275 13.1. Examples of Refinement............................................................................277 13.2. A Constructive Definition of Finite Refinement.......................................281 13.3. Axioms for Refinement..............................................................................282 13.4. Lifting Moivrean Events and Variables.....................................................288 13.5. Refining Martingale Trees.........................................................................288 13.6. Grounding........................................................................................... .......294 Chapter 14. Principles of Causal Conjecture..................................................................299 14.1. The Diversity of Causal Explanation.........................................................302 14.2. The Mean Effect of the Happening of a Moivrean Event..........................305 14.3. The Effect of a Humean Variable..............................................................311 14.4. Attribution and Generality.........................................................................316 14.5. The Statistical Measurement of the Effect of a Cause...............................319 14.6. Measurement by Experiment.....................................................................320 14.7. Using Our Knowledge of How Things Work............................................322 v 14.8. Sampling Error...........................................................................................329 14.9. The Sampling Frame..................................................................................329 14.10. Notes on the Literature.............................................................................330 Chapter 15. Causal Models.............................................................................................3 31 15.1. The Causal Interpretation of Statistical Prediction....................................333 15.2. Generalizing to a Family of Exogenous Variables....................................337 15.3 Some Joint Causal Diagrams......................................................................339 15.4. Causal Path Diagrams................................................................................342 15.5. Causal Relevance Diagrams.......................................................................346 15.6. The Meaning of Latent Variables..............................................................352 15.7. Notes on the Literature...............................................................................357 Chapter 16. Representing Probability Trees...................................................................359 16.1. Three Graphical Representations...............................................................361 16.2. Skeletal Simplifications.............................................................................368 16.3. Martingale Trees in Type Theory...............................................................371 Appendix A. Huygens’s Probability Trees.....................................................................379 Huygens’s Manuscript in Translation..................................................................380 Appendix B. Some Elements of Graph Theory..............................................................385 B1. Undirected Graphs........................................................................................385 B2. Directed Graphs............................................................................................38 6 Appendix C. Some Elements of Order Theory...............................................................393 C1. Partial and Quasi Orderings.........................................................................393 C2. Singular and Joint Diagrams for Binary Relations.......................................394 C3. Lattices............................................................................................ .............395 C4. The Lattice of Partitions of a Set..................................................................396 Appendix D. The Sample-Space Framework for Probability.........................................399 D1. Probability Measures....................................................................................399 D2. Variables........................................................................................... ...........400 vi D3. Families of Variables...................................................................................401 D4. Expected Value............................................................................................402 D5. The Law of Large Numbers.........................................................................405 D6. Conditional Probability................................................................................406 D7. Conditional Expected Value........................................................................407 Appendix E. Prediction in Probability Spaces................................................................409 E1. Conditional Distribution...............................................................................411 E2. Regression on a Single Variable...................................................................412 E3. Regression on a Partition or a Family of Variables......................................415 E4. Linear Regression on a Single Variable.......................................................418 E5. Linear Regression on a Family of Variables................................................422 Appendix F. Sample-Space Concepts of Independence.................................................425 F1. Overview............................................................................................ ...........426 F2. Independence Proper.....................................................................................432 F3. Unpredictability in Mean..............................................................................434 F4. Simple Uncorrelatedness..............................................................................437 F5. Mixed Uncorrelatedness...............................................................................438 F6. Partial Uncorrelatedness...............................................................................440 F7. Independence for Partitions..........................................................................442 F8. Independence for Families of Variables.......................................................445 F9. The Basic Role of Uncorrelatedness.............................................................448 F10. Dawid’s Axioms.........................................................................................449 Appendix G. Prediction Diagrams..................................................................................453 G1. Path Diagrams............................................................................................ ..454 G2. Generalized Path Diagrams..........................................................................462 G3. Relevance Diagrams.....................................................................................466 G4. Bubbled Relevance Diagrams......................................................................475 Appendix H. Abstract Stochastic Processes...................................................................479 vii H1. Probability Conditionals and Probability Distributions...............................477 H2. Abstract Stochastic Processes......................................................................479 H3. Embedding Variables and Processes in a Sample Space.............................480 References.......................................................................................... ..............................491. (shrink)
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  16.  58
    Perception and the Ontology of Causation.Helen Steward - 2011 - In Johannes Roessler, Hemdat Lerman & Naomi Eilan (eds.), Perception, Causation, and Objectivity. Oxford, GB: Oxford University Press. pp. 139.
    The paper argues that the reconciliation of the Causal Theory of Perception with Disjunctivism requires the rejection of causal particularism – the idea that the ontology of causation is always and everywhere an ontology of particulars (e.g., events). The so-called ‘Humean Principle’ that causes must be distinct from their effects is argued to be a genuine barrier to any purported reconciliation, provided causal particularism is retained; but extensive arguments are provided for the rejection of causal particularism. It is then (...)
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  17. (1 other version)Philosophical Papers, Volume II.David Lewis - 1986 - New York, US: Oxford University Press.
    A collection of 13 papers by David Lewis, written on a variety of topics including causation, counterfactuals and indicative conditionals, the direction of time, subjective and objective probability, explanation, perception, free will, and rational decision. The conclusions reached include the claim that time travel is possible, that counterfactual dependence is asymmetrical, that events are properties of spatiotemporal regions, that the Prisoners’ Dilemma is a Newcomb problem, and that causation can be analyzed in terms of counterfactual dependence between events. These papers (...)
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  18.  43
    Moral alternatives, physical determinism & Frankfurt-style counterexamples.Nadine Elzein - 2022 - Inquiry: An Interdisciplinary Journal of Philosophy 65 (10):1231-1249.
    ABSTRACT Agents in Frankfurt-style counterexamples only appear to be responsible insofar as they act willingly in the actual sequence, but would need to be manipulated against their will into forming the relevant intention in the alternative sequence. This difference appears ineliminable and unavoidably morally significant. ‘Neo-Frankfurtians’ concede that the sequences must be physically differentiated, but deny their moral differentiation. In contrast, I explore whether the alternatives could be physically undifferentiated, despite their moral difference. The reason there is an ineliminable moral (...)
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  19.  70
    The situation of causality.Glenn Shafer - 1995 - Foundations of Science 1 (4):543-563.
    Causality in the abstract is a grand theme. We take it up when we want to penetrate to the bottom of things to understand general laws that govern the working at the world of the deepest and most detailed level.In this essay, I argue for a more situated understanding of causality. To counter our desire for ever greater generality, I suggest that causal relations, even those that hold only on average, require context. To counter our desire for ever greater detail, (...)
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  20. Hume on the Projection of Causal Necessity.Jennifer Smalligan Marušić - 2014 - Philosophy Compass 9 (4):263-273.
    A characteristically Humean pattern of explanation starts by claiming that we have a certain kind of feeling in response to some objects and then takes our having such feelings to provide an explanation of how we come to think of those objects as having some feature that we would not otherwise be able to think of them as having. This core pattern of explanation is what leads Simon Blackburn to dub Hume ‘the first great projectivist.’ This paper critically examines (...)
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  21. Berkeley’s Best System: An Alternative Approach to Laws of Nature.Walter Ott - 2019 - Journal of Modern Philosophy 1 (1):4.
    Contemporary Humeans treat laws of nature as statements of exceptionless regularities that function as the axioms of the best deductive system. Such ‘Best System Accounts’ marry realism about laws with a denial of necessary connections among events. I argue that Hume’s predecessor, George Berkeley, offers a more sophisticated conception of laws, equally consistent with the absence of powers or necessary connections among events in the natural world. On this view, laws are not statements of regularities but the most general rules (...)
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  22. What is the significance of the intuition that laws of nature govern?Susan Schneider - 2007 - Australasian Journal of Philosophy 85 (2):307-324.
    Recently, proponents of Humean Supervenience have challenged the plausibility of the intuition that the laws of nature ‘govern’, or guide, the evolution of events in the universe. Certain influential thought experiments authored by John Carroll, Michael Tooley, and others, rely strongly on such intuitions. These thought experiments are generally regarded as playing a central role in the lawhood debate, suggesting that the Mill-Ramsey-Lewis view of the laws of nature, and the related doctrine of the Humean Supervenience of laws, (...)
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  23. What Chance Doesn’t Know.Harjit Bhogal & Michael Townsen Hicks - forthcoming - Journal of Philosophy.
    Humean accounts of chance have a problem with undermining futures: they have to accept that some series of events are physically possible and have a nonzero chance but are inconsistent with the chances being what they are. This contradicts basic platitudes about chances (such as those given by Bigelow et al. (1993) and Schaffer (2007)) and leads to inconsistency between plausible constraints on credences. We show how Humeans can avoid these contradictions by drawing on metaphysically impossible worlds that are, (...)
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  24.  56
    On the Inadmissibility of Some Historical Information.Ittay Nissan-Rozen - 2017 - Philosophy and Phenomenological Research 97 (2):479-493.
    I argue—from a Humean perspective—for the falsity of what I call the “Admissibility of Historical Information Thesis”. According to the AHIT, propositions that describe past events are always admissible with respect to propositions that describe future events. I first demonstrate that this thesis has some counter-intuitive implications and argue that a Humean can explain the intuitive attractiveness of the AHIT by arguing that it results from a wrong understanding of the concept of chance. I then demonstrate how a (...)
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  25. Scientific Essentialism and the Lewis/Ramsey Account of Laws of Nature.Charles M. Hermes - unknown
    Humean interpretations claim that laws of nature merely summarize events. Non-Humean interpretations claim that laws force events to occur in certain patterns. First, I show that the Lewis/Ramsey account of lawhood, which claims that laws are axioms or theorems of the simplest strongest summary of events, provides the best Humean interpretation of laws. The strongest non-Humean account, the scientific essentialist position, grounds laws of nature in essential non-reducible dispositional properties held by natural kinds. The scientific essentialist (...)
     
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  26. The Powerlessness of Necessity.Markus Schrenk - 2010 - Noûs 44 (4):725-739.
    This paper concerns anti-Humean intuitions about connections in nature. It argues for the existence of a de re link that is not necessity.Some anti-Humeans tacitly assume that metaphysical necessity can be used for all sorts of anti-Humean desires. Metaphysical necessity is thought to stick together whatever would be loose and separate in a Hume world, as if it were a kind of universal superglue.I argue that this is not feasible. Metaphysical necessity might connect synchronically co-existent properties—kinds and their (...)
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  27. Supervenience and Singular Causal Statements.James Woodward - 1990 - Royal Institute of Philosophy Supplement 27:211-246.
    In his recent book, Causation: A Realistic Approach , Michael Tooley discusses the following thesis, which he calls the ‘thesis of the Humean Supervenience of Causal Relations’: The truth values of all singular causal statements are logically determined by the truth values of statements of causal laws, together with the truth values of non-causal statements about particulars . represents one version of the ‘Humean’ idea that there is no more factual content to the claim that two particular events (...)
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  28. Causation and Causal Relevance.Eric Hiddleston - 2001 - Dissertation, Cornell University
    I argue against counterfactual theories of causation , develop a pragmatic version of the Covering Law view, and offer a causal theory of counterfactuals. ;The initial idea of CTCs is that event a causes event b if b would not have occurred, if a had not occurred. David Lewis proposes this view as a solution to problems of "effects" and "epiphenomena". I argue that CTCs cannot solve these problems. Covering Law theories can, but only by rejecting traditional (...) accounts of laws. ;Following Nancy Cartwright , I argue that there is no a priori route from probabilistic association to causal relevance, and that distinguishing causal relevance from mere association requires further causal knowledge. Some recent literature on causal modelling is also examined. ;Much causal knowledge concerns rough, approximate ceteris paribus laws and generalizations. I examine these and argue that they involve important pragmatic components. ;Many aspects of intuitive causal judgment and reasoning are explained by ceteris paribus causes. For example, many causes are preventable, and only ceteris paribus causes could be prevented. Ceteris paribus causes are capacities, which make similar contributions to different circumstances, and interact with each other . The pragmatic features of ceteris paribus laws hold equally of ceteris paribus causes. ;Singular and generic causes are unified by appeal to the a posteriori impossibility of "action at a distance". The locality of causal relations requires that causes act by continuous intervening processes. Singular causes and effects are instances of generic causal process types. ;Numerous cases of unclear and conflicting intuitions about causes and effects are explained by contextual factors . ;I explain away the attraction of CTCs by offering a causal account of counterfactuals. It is natural to express causal facts using counterfactuals because the truth conditions of counterfactuals are direct consequences of causal facts. (shrink)
     
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  29.  33
    On the Very Idea of Distant Correlations.Márton Gömöri - 2020 - Foundations of Physics 50 (6):530-554.
    Contemporary debate over laws of nature centers around Humean supervenience, the thesis that everything supervenes on the distribution of non-nomic facts. The key ingredient of this thesis is the idea that nomic-like concepts—law, chance, causation, etc.—are expressible in terms of the regularities of non-nomic facts. Inherent to this idea is the tacit conviction that regularities, “constant conjunctions” of non-nomic facts do supervene on the distribution of non-nomic facts. This paper raises a challenge for this conviction. It will be pointed (...)
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  30.  18
    The Role of Self-Knowledge in the Critique of Pure Reason.Richard F. H. Polt - 1990 - Auslegung 16 (2):165-173.
    In the Critique of Pure Reason Kant attempts to solve two problems about our knowledge of the world. First, how can we know any necessary truths about the world, such as the principle that every event must have a cause? Second, how can I know that things other than I exist at all? Kant’s strategy for dealing with both these problems is to repudiate the kind of distinction that Descartes and Hume had made between self-knowledge and our knowledge of (...)
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  31.  23
    La libertad moral en Thomas Reid la cuestión Del método.María Elton - 2021 - Ideas Y Valores 70 (176):117-135.
    RESUMEN Precisamente en momentos en que el determinismo humeano de la voluntad estaba comenzando a tener fuerza de tradición, surge Thomas Reid con una filosofía de la voluntad libre que tiene los rasgos principales de la tradición clásica anterior a Hume, medieval y tempranamente moderna. Su método inductivo, sin embargo, está tomado de Newton y del sentido común. Desde esta metodología ilustrada, Reid afirma que la voluntad es una facultad metafísica. Ha tenido influencia en la agent-cause theory, que se ha (...)
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  32.  77
    Bhaskar on Open and Closed Systems.David Spurrett - 2000 - South African Journal of Philosophy 19 (3):188-209.
    Bhaskar's articulation of his ‘transcendental realism' includes an argument for a form of causal emergence which would mean the rejection of physicalism, by means of rejecting the causal closure of the physical. His argument is based on an analysis of the conditions for closure, where closed systems manifest regular or Humean relations between events. Bhaskar argues that the project of seeking closure entails commitment to a strong reductionism, which in turn entails the impossibility of science itself, and concludes that (...)
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  33. Scientific Essentialism.Brian Ellis - 2001 - New York: Cambridge University Press.
    Scientific Essentialism defends the view that the fundamental laws of nature depend on the essential properties of the things on which they are said to operate, and are therefore not independent of them. These laws are not imposed upon the world by God, the forces of nature or anything else, but rather are immanent in the world. Ellis argues that ours is a dynamic world consisting of more or less transient objects which are constantly interacting with each other, and whose (...)
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  34.  4
    Nature and Scientific Method ed. by Daniel O. Dahlstrom.Laura Landen - 1992 - The Thomist 56 (2):351-355.
    In lieu of an abstract, here is a brief excerpt of the content:BOOK REVIEWS 351 raise questions for his thesis. Casey seems to want to suggest that our moral responses that do not fit well with the tradition of the virtues are simply the last remnants of a particular religion. But his own men· tion of the Stoics as one important source for the ' Christian ' tradition suggests that the commitments that Casey traces to Christianity-for example, to some version (...)
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  35. Against the “New Hume”.Peter Millican - unknown
    Is Hume, or is he not, a realist about what Galen Strawson calls “Causation” (with a capital “C”) and Simon Blackburn calls “thick connexions”, that is, necessary connexions between events that go beyond functional relations of regular succession? With this “New Hume” debate now in its third decade, one might feel entitled to wonder whether there is any determinate answer to be had. Both sides have found plenty of Humean quotations to throw at their opponents, passages which taken in (...)
     
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  36. The Third Way on Objective Probability: A Sceptic's Guide to Objective Chance.Carl Hoefer - 2007 - Mind 116 (463):549-596.
    The goal of this paper is to sketch and defend a new interpretation or 'theory' of objective chance, one that lets us be sure such chances exist and shows how they can play the roles we traditionally grant them. The account is 'Humean' in claiming that objective chances supervene on the totality of actual events, but does not imply or presuppose a Humean approach to other metaphysical issues such as laws or causation. Like Lewis (1994) I take the (...)
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  37. Humeanism about laws of nature.Harjit Bhogal - 2020 - Philosophy Compass 15 (8):1-10.
    Humeanism about laws of nature is, roughly, the view that the laws of nature are just patterns, or ways of describing patterns, in the mosaic of events. In this paper I survey some of the (many!) objections that have been raised to Humeanism, considering how the Humean might respond. And I consider how we might make a positive case for Humeanism. The common thread running through all this is that the viability of the Humean view relies on the (...)
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  38.  85
    Causal asymmetry.Douglas Ehring - 1982 - Journal of Philosophy 79 (12):761-774.
    This thesis addresses the problem of causal asymmetry. This problem may be characterized as follows: what is the relation R such that if an event c causes an event e c bears relation R to e but e does not bear relation R to e. The traditional Humean account of causal asymmetry is that "R" may be replaced by "temporally prior." Difficulties with this account based on consideration of cases of simultaneous causation and backward causation have given (...)
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  39. What does the world look like according to superdeterminism.Augustin Baas & Baptiste Le Bihan - 2023 - British Journal for the Philosophy of Science 74 (3):555-572.
    The violation of Bell inequalities seems to establish an important fact about the world: that it is non-local. However, this result relies on the assumption of the statistical independence of the measurement settings with respect to potential past events that might have determined them. Superdeterminism refers to the view that a local, and determinist, account of Bell inequalities violations is possible, by rejecting this assumption of statistical independence. We examine and clarify various problems with superdeterminism, looking in particular at its (...)
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  40.  41
    Matter and Mathematics: An Essentialist Account of the Laws of Nature by Andrew YOUNAN (review).Dominic V. Cassella - 2023 - Review of Metaphysics 77 (1):166-168.
    In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Matter and Mathematics: An Essentialist Account of the Laws of Nature by Andrew YOUNANDominic V. CassellaYOUNAN, Andrew. Matter and Mathematics: An Essentialist Account of the Laws of Nature. Washington, D.C.: The Catholic University of America Press, 2023. xii + 228 pp. Cloth, $75.00Andrew Younan’s work situates itself between two opposing philosophical accounts of the laws of nature. In one corner, there are the Humeans (or Nominalists); in the (...)
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  41.  66
    Regularity, Conditionality, and Asymmetry in Causation.Georges Dicker - 2000 - The Proceedings of the Twentieth World Congress of Philosophy 7:129-138.
    In this paper I explore the relationship between the “Humean” regularity view of causation, the view that a cause is a necessary condition of its effect, and the asymmetry of causation—the principle that if an event e1 causes e2, then it is false that e2 causes e1. I argue that the regularity view, in combination with the view that a cause is a necessary condition of its effect, is inconsistent with the asymmetry of causation, and that the inconsistency (...)
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  42. Tall Tales and Testimony to the Miraculous.Lydia McGrew - 2012 - European Journal of Analytic Philosophy 8 (2):39-55.
    In the debate over testimony to miracles, a common Humean move is to emphasize the prior improbability of miracles as the most important epistemic factor. Robert Fogelin uses the example of Henry, who tells multiple tall tales about meeting celebrities, to argue that low prior probabilities alone can render testimony unbelievable, with obvious implications for testimony to miracles. A detailed Bayesian analysis of Henry’s stories shows instead that the fact that Henry tells multiple stories about events that occurred independently (...)
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  43.  82
    Time Travel, Parahistory and Hume.Roy A. Sorensen - 1987 - Philosophy 62 (240):227 - 236.
    THE PURPOSE OF THIS ARTICLE IS TO SHOW HOW HUME’S SCEPTICISM ABOUT MIRACLES GENERATES "EPISTEMOLOGICAL" SCEPTICISM ABOUT TIME TRAVEL. SO THE PRIMARY QUESTION RAISED HERE IS "CAN ONE KNOW THAT TIME TRAVEL HAS OCCURED?" RATHER THAN "CAN TIME TRAVEL OCCUR?" I ARGUE THAT ATTEMPTS TO SHOW THE EXISTENCE OF TIME TRAVEL WOULD FACE THE SAME METHODOLOGICAL PROBLEMS AS THE ONES CONFRONTING ATTEMPTS TO DEMONSTRATE THE EXISTENCE OF PARANORMAL EVENTS. SINCE HUMEAN SCEPTICISM EXTENDS TO THE STUDY OF PARANORMAL EVENTS (PARAPSYCHOLOGY), (...)
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  44.  41
    I Tensed the Laws and the Laws Won: Non-Eternalist Humeanism.Marius Backmann - 2016 - Manuscrito 39 (4):255-277.
    ABSTRACT In this paper, I propose a variant of a Humean account of laws called "Open Future Humeanism", which holds that since the laws supervene partly on future events, there are at any instant infinitely many possible future courses of events. I argue that if one wants to take the openness of the future that OFH proposes ontologically serious, then OFH is best represented within a growing block view of time. I further discuss some of OFH's problems which stem (...)
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  45. Kant's theory of causation and its eighteenth-century German background.Andrew Chignell & Derk Pereboom - 2010 - Philosophical Review 119 (4):565-591.
    This critical notice highlights the important contributions that Eric Watkins's writings have made to our understanding of theories about causation developed in eighteenth-century German philosophy and by Kant in particular. Watkins provides a convincing argument that central to Kant's theory of causation is the notion of a real ground or causal power that is non-Humean (since it doesn't reduce to regularities or counterfactual dependencies among events or states) and non-Leibnizean because it doesn't reduce to logical or conceptual relations. However, (...)
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  46. Can There be A Priori Causal Models of Natural Selection?Marc Lange & Alexander Rosenberg - 2011 - Australasian Journal of Philosophy 89 (4):591-599.
    Sober 2011 argues that, contrary to Hume, some causal statements can be known a priori to be true—notably, some ‘would promote’ statements figuring in causal models of natural selection. We find Sober's argument unconvincing. We regard the Humean thesis as denying that causal explanations contain any a priori knowable statements specifying certain features of events to be causally relevant. We argue that not every ‘would promote’ statement is genuinely causal, and we suggest that Sober has not shown that his (...)
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  47.  19
    Explanation, Causation and Deduction.Fred Wilson - 1985 - Dordrecht, Boston, Lancaster: Reidel.
    The purpose of this essay is to defend the deductive-nomological model of explanation against a number of criticisms that have been made of it. It has traditionally been thought that scientific explanations were causal and that scientific explanations involved deduction from laws. In recent years, however, this three-fold identity has been challenged: there are, it is argued, causal explanations that are not scientific, scientific explanations that are not deductive, deductions from laws that are neither causal explanations nor scientific explanations, and (...)
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  48.  62
    On Defining Away the Miraculous.Gary Colwell - 1982 - Philosophy 57 (221):327 - 337.
    HUME AND HIS FOLLOWERS HAVE TRIED UNSUCCESSFULLY TO ESTABLISH THE IMPOSSIBILITY OF MIRACLES BY APPEALING SOLELY TO THE DEFINITIONS OF MIRACLE AND NATURAL LAW. HUME’S ARGUMENT TRADES UPON THAT PART OF THE DEFINITION OF MIRACLE WHICH PERTAINS TO THE NUMERICAL INSIGNIFICANCE OF MIRACULOUS EVENTS. HE DID NOT REALIZE THAT THE LARGE NUMERICAL DIFFERENCE BETWEEN NON-REPEATABLE IRREGULAR EVENTS AND REPEATABLE REGULAR ONES LOGICALLY CANNOT BE USED AS A CRITERION BY WHICH TO DETERMINE THE EXISTENTIAL STATUS OF NUMERICALLY SMALL NON-REPEATABLE IRREGULAR EVENTS. (...)
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  49.  49
    The Will as Impression.John M. Connolly - 1987 - Hume Studies 13 (2):276-305.
    In lieu of an abstract, here is a brief excerpt of the content:276 THE WILL AS IMPRESSION Hume writes, in the Treatise: Let no one, therefore, put an invidious construction on my words, by saying simply, that I assert the necessity of human actions, and place them on the same footing with the operations of senseless matter. I do not ascribe to the will that unintelligible necessity, which is suppos'd to lie in matter. But I ascribe to matter, that intelligible (...)
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  50.  66
    Induction Justified (But Just Barely).Ralph W. Clark - 1983 - Philosophy 58 (226):481 - 488.
    Hume's sceptical arguments regarding induction have not yet been successfully answered. However, I shall not in this paper discuss the important attempts to answer Hume since that would be too lengthy a task. On the supposition that Hume's sceptical arguments have not been met, the empirical world is a place where, as the popular metaphor goes, all the glue has been removed. For the Humean sceptic, the only empirical knowledge that we can have is given to us in immediate (...)
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