Results for 'Explanation'

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  1. Cognition and explanation.Herbert A. Simon, Discovering Explanations, Clark Glymour, Andy Clark, Twisted Tales, Alison Gopnik & Explanation as Orgasm - 1998 - Cognition 8 (1).
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  2.  50
    The creation, discovery, view: Towards a possible explanation of quantum reality.Towards A. Possible Explanation Of Quantum - 1999 - In Maria Luisa Dalla Chiara (ed.), Language, Quantum, Music. Springer. pp. 105.
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  3. Kazem sadegh-Zadeh.A. Pragmatic Concept of Causal Explanation - 1984 - In Lennart Nordenfelt & B. Ingemar B. Lindahl (eds.), Health, Disease, and Causal Explanations in Medicine. Reidel. pp. 201.
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  4.  98
    Peter Lipton.Alien Abduction, Inference To & Best Explanation - 2007 - Episteme 7:239.
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  5.  31
    Scientific Explanation: Causation and Unification.Wesley C. Salmon - 1990 - Critica 22 (66):3-23.
  6.  31
    Scientific explanation.Richard Bevan Braithwaite - unknown
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  7. Evidence, explanation, and realism: essays in the philosophy of science.Peter Achinstein - 2010 - New York: Oxford University Press.
    The essays in this volume address three fundamental questions in the philosophy of science: What is required for some fact to be evidence for a scientific ...
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  8. Scientific Explanation.P. Kitcher & W. C. Salmon - 1992 - British Journal for the Philosophy of Science 43 (1):85-98.
     
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  9. pp. x+ 82, S6. 00 paper (210.50 hardback).Historical Explanation Reconsidered - 1985 - Philosophical Investigations 8 (1).
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  10.  26
    Compare and Contrast: How to assess the completeness of mechanistic explanation.Matej Kohár & Beate Krickel - 2020 - In Fabrizio Calzavarini & Marco Viola (eds.), Neural Mechanisms: New Challenges in the Philosophy of Neuroscience. Springer. pp. 395-424.
    Opponents of the new mechanistic account of scientific explanation argue that the new mechanists are committed to a ‘More Details Are Better’ claim: adding details about the mechanism always improves an explanation. Due to this commitment, the mechanistic account cannot be descriptively adequate as actual scientific explanations usually leave out details about the mechanism. In reply to this objection, defenders of the new mechanistic account have highlighted that only adding relevant mechanistic details improves an explanation and that (...)
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  11.  26
    Rethinking Mechanistic Explanation.Lindley Darden - 2002 - Philosophy of Science 69 (S3):342-353.
    Philosophers of science typically associate the causal‐mechanical view of scientific explanation with the work of Railton and Salmon. In this paper I shall argue that the defects of this view arise from an inadequate analysis of the concept of mechanism. I contrast Salmon’s account of mechanisms in terms of the causal nexus with my own account of mechanisms, in which mechanisms are viewed as complex systems. After describing these two concepts of mechanism, I show how the complex‐systems approach avoids (...)
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  12. II—James Woodward: Mechanistic Explanation: Its Scope and Limits.James Woodward - 2013 - Aristotelian Society Supplementary Volume 87 (1):39-65.
    This paper explores the question of whether all or most explanations in biology are, or ideally should be, ‘mechanistic’. I begin by providing an account of mechanistic explanation, making use of the interventionist ideas about causation I have developed elsewhere. This account emphasizes the way in which mechanistic explanations, at least in the biological sciences, integrate difference‐making and spatio‐temporal information, and exhibit what I call fine‐tunedness of organization. I also emphasize the role played by modularity conditions in mechanistic (...). I will then argue, in agreement with John Dupré, that, given this account, it is plausible that many biological systems require explanations that are relatively non‐mechanical or depart from expectations one associates with the behaviour of machines. (shrink)
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  13.  37
    Developmental explanation and the ontogeny of birdsong: Nature/nurture redux.Timothy Johnston - 1988 - Behavioral and Brain Sciences 11 (4):617-630.
    Despite several decades of criticism, dichotomous thinking about behavioral development remains widespread and influential. This is particularly true in study of birdsong development, where it has become increasingly common to diagnose songs, elements of songs, or precursors of songs as either innate or learned on the basis of isolation-rearing experiments. The theory of sensory templates has encouraged both the dichotomous approach and an emphasis on structural rather than functional aspects of song development. As a result, potentially important lines of investigation (...)
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  14. Two Approaches to Metaphysical Explanation.Ezra Rubenstein - forthcoming - Noûs.
    Explanatory metaphysics aspires to explain the less fundamental in terms of the more fundamental. But we should recognize two importantly different approaches to this task. According to the generation approach, more basic features of reality generate (or give rise to) less basic features. According to the reduction approach, less perspicuous ways of representing reality reduce to (or collapse into) more perspicuous ways of representing reality. The main goals of this paper are to present the core differences between the two approaches (...)
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  15. Inference to the Best Explanation in Uncertain Evidential Situations.Borut Trpin & Max Pellert - 2019 - British Journal for the Philosophy of Science 70 (4):977-1001.
    It has recently been argued that a non-Bayesian probabilistic version of inference to the best explanation (IBE*) has a number of advantages over Bayesian conditionalization (Douven [2013]; Douven and Wenmackers [2017]). We investigate how IBE* could be generalized to uncertain evidential situations and formulate a novel updating rule IBE**. We then inspect how it performs in comparison to its Bayesian counterpart, Jeffrey conditionalization (JC), in a number of simulations where two agents, each updating by IBE** and JC, respectively, try (...)
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  16. Beyond Explanation: Understanding as Dependency Modeling.Finnur Dellsén - 2018 - British Journal for the Philosophy of Science (4):1261-1286.
    This paper presents and argues for an account of objectual understanding that aims to do justice to the full range of cases of scientific understanding, including cases in which one does not have an explanation of the understood phenomenon. According to the proposed account, one understands a phenomenon just in case one grasps a sufficiently accurate and comprehensive model of the ways in which it or its features are situated within a network of dependence relations; one’s degree of understanding (...)
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  17. Explanation, updating, and accuracy.Igor Douven - 2016 - Journal of Cognitive Psychology 28:1004-1012.
  18.  26
    The Explanation of Behaviour.N. S. Sutherland - 1965 - Philosophical Quarterly 15 (61):379-381.
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  19.  96
    Nonseparable processes and causal explanation.Richard Healey - 1994 - Studies in History and Philosophy of Science Part A 25 (3):337-374.
    If physical reality is nonseparable, as quantum mechanics suggests, then it may contain processes of a quite novel kind. Such nonseparable processes could connect space-like separated events without violating relativity theory or any defensible locality condition. Appeal to nonseparable processes could ground theoretical explanations of such otherwise puzzling phenomena as the two-slit experiment, and EPR- type correlations. We find such phenomena puzzling because they threaten cherished conceptions of how causes operate to produce their effects. But nonseparable processes offer us an (...)
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  20. Grounding the Selectionist Explanation for the Success of Science in the External Physical World.Ragnar van der Merwe - forthcoming - Foundations of Science: DOI: 10.1007/s10699-023-09907-y.
    I identify two versions of the scientific anti-realist’s selectionist explanation for the success of science: Bas van Fraassen’s original and K. Brad Wray’s newer interpretation. In Wray’s version, psycho-social factors internal to the scientific community – viz. scientists’ interests, goals, and preferences – explain the theory-selection practices that explain theory-success. I argue that, if Wray’s version were correct, then science should resemble art. In art, the artwork-selection practices that explain artwork-success appear faddish. They are prone to radical change over (...)
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  21. Inference to the Best Explanation versus Bayes’s Rule in a Social Setting.Igor Douven & Sylvia Wenmackers - 2017 - British Journal for the Philosophy of Science 68 (2).
    This article compares inference to the best explanation with Bayes’s rule in a social setting, specifically, in the context of a variant of the Hegselmann–Krause model in which agents not only update their belief states on the basis of evidence they receive directly from the world, but also take into account the belief states of their fellow agents. So far, the update rules mentioned have been studied only in an individualistic setting, and it is known that in such a (...)
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  22.  11
    Explanation-based learning:A problem solving perspective.Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel R. Kuokka, Oren Etzioni & Yolanda Gil - 1989 - Artificial Intelligence 40 (1-3):63-118.
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    Essence, Grounding, and Explanation.David Mark Kovacs - 2024 - In Kathrin Koslicki & Michael J. Raven (eds.), The Routledge Handbook of Essence in Philosophy. New York, NY: Routledge. pp. 305-318.
    Chapter 20 David Kovacs’ “Essence, Grounding, and Explanation” sets out four different ways in which essence might be taken to relate to the notion of grounding or metaphysical explanation, i.e., the type of connection that is often expressed by means of non-causal “in virtue of” or “because”-claims: (i) Unity: essence and grounding belong to a unified set of explanatory concepts; (ii) Supplementation: essence and grounding both contribute in their own way to a distinctive type of explanation; (iii) (...)
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  24. Explanation and the problem of evil.Paul Draper & Trent Dougherty - 2013 - In Justin P. Mcbrayer (ed.), A Companion to the Problem of Evil. Wiley. pp. 71-87.
     
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  25.  60
    Collaborative explanation and biological mechanisms.Melinda Bonnie Fagan - 2015 - Studies in History and Philosophy of Science Part A 52:67-78.
  26. Levels of explanation.David Owens - 1989 - Mind 98 (389):59-79.
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    Rational explanation of the selection task.Mike Oaksford & Nick Chater - 1996 - Psychological Review 103 (2):381-391.
  28. Knowledge, Explanation, and Motivating Reasons.Dustin Locke - 2015 - American Philosophical Quarterly 52:215-232.
    According to a number of recent philosophers, knowledge has an intimate relationship with rationality. Some philosophers hold, in particular, that rational agents do things for good motivating reasons, and that p can be one’s motivating reason for -ing (acting/believing/fearing/etc.) only if one knows that p. This paper argues against this view and in favor of the view that p cannot be one’s motivating reason for -ing—in the relevant sense—unless there is an appropriate explanatory connection between the fact that p and (...)
     
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  29. Functional analysis and mechanistic explanation.David Barrett - 2014 - Synthese 191 (12):2695-2714.
    Piccinini and Craver (Synthese 183:283–311, 2011) argue for the surprising view that psychological explanation, properly understood, is a species of mechanistic explanation. This contrasts with the ‘received view’ (due, primarily, to Cummins and Fodor) which maintains a sharp distinction between psychological explanation and mechanistic explanation. The former is typically construed as functional analysis, the analysis of some psychological capacity into an organized series of subcapacities without specifying any of the structural features that underlie the explanandum capacity. (...)
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  30.  17
    Everyday explanation: The pragmatics of puzzle resolution.William Turnbull - 1986 - Journal for the Theory of Social Behaviour 16 (2):141–160.
  31.  35
    What Functions Explain: Functional Explanation and Self-Reproducing Systems.Beth Preston - 2002 - Mind 111 (444):888-891.
  32.  59
    The explanation of purposive behaviour.Charles Taylor - 1970 - In Robert Borger (ed.), Explanation In The Behavioural Sciences. Cambridge University Press. pp. 49--79.
  33.  63
    On explanation.John Hospers - 1946 - Journal of Philosophy 43 (13):337-356.
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    Scientific discovery, causal explanation, and process model induction.Pat Langley - 2019 - Mind and Society 18 (1):43-56.
    In this paper, I review two related lines of computational research: discovery of scientific knowledge and causal models of scientific phenomena. I also report research on quantitative process models that falls at the intersection of these two themes. This framework represents models as a set of interacting processes, each with associated differential equations that express influences among variables. Simulating such a quantitative process model produces trajectories for variables over time that one can compare to observations. Background knowledge about candidate processes (...)
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  35. 1. narrative explanation and its malcontents.David Carr - 2008 - History and Theory 47 (1):19–30.
    In this paper I look at narrative as a mode of explanation and at various ways in which the explanatory value of narrative has been criticized. I begin with the roots of narrative explanation in everyday action, experience, and discourse, illustrating it with the help of a simple example. I try to show how narrative explanation is transformed and complicated by circumstances that take us beyond the everyday into such realms as jurisprudence, journalism, and history. I give (...)
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  36. COI Stories: Explanation and Evidence in the History of Science.Michel Janssen - 2002 - Perspectives on Science 10 (4):457-522.
    This paper takes as its point of departure two striking incongruities between scientiªc practice and trends in modern history and philosophy of science. (1) Many modern historians of science are so preoccupied with local scientiªc practices that they fail to recognize important non-local elements. (2) Many modern philosophers of science make a sharp distinction between explanation and evidence, whereas in scientiªc practice explanatory power is routinely used as evidence for scientiªc claims. I draw attention to one speciªc way in..
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  37.  84
    An Axiological Ultimate Explanation for Existence.Mohsen Moghri - 2023 - Magyar Filozofiai Szemle 67 (Special Issue: Teleology):118-138.
    Why is there something concrete rather than nothing? There are many suggestions to explain the existence of our world. But a suggestion can rule out all others that leave no concrete thing unexplained and throw up no further why question. One such ultimate explanation may only be found in something that can carry its own explanation within itself. In this article, I attempt to find one such explanation for all existence. A variant of self-explanation, namely self-subsumption—obtaining (...)
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  38.  10
    The Explanation of Behaviour.Robert Brown - 1965 - Philosophy 40 (154):344-348.
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  39. The Explanation of Social Behaviour.Paul F. Secord - 1974 - Mind 83 (331):471-473.
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  40.  53
    Unification and Explanation: Explanation as a Prototype Concept.Gerhard Schurz - 2014 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 29 (1):57-70.
    In this paper I investigate unification as a virtue of explanation. In the first part of the paper (sec. 1-2) I give a brief exposition of the unification account of Schurz and Lambert (1994) and Schurz (1999). I illustrate the advantages of this account in comparison to the older unification accounts of Friedman (1974) and Kitcher (1981). In the second part (sec. 3) I discuss several comments and objections to the Schurz-Lambert account that were raised by Weber and van (...)
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  41. Scientific Explanation.Nicholas Rescher - 1970 - Philosophy 47 (182):380-382.
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  42.  39
    Explanation and Integration in Mind and Brain Science.David Michael Kaplan (ed.) - 2017 - Oxford, United Kingdom: Oxford University Press.
    Is the relationship between psychology and neuroscience one of autonomy or mutual constraint and integration? This volume includes new papers from leading philosophers seeking to address this issue by deepening our understanding of the similarities and differences between the explanatory patterns employed across these domains.
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  43. Explanation‐driven inquiry: Integrating conceptual and epistemic scaffolds for scientific inquiry.William A. Sandoval & Brian J. Reiser - 2004 - Science Education 88 (3):345-372.
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  44. Nancy S. Jecker.Donnie J. Self & Gender-Based Explanations - 1994 - Contemporary Issues in Bioethics 16:58.
  45. Against the sociology of art.Aesthetic Versus Sociological & Explanations of Art Activities - 2002 - Philosophy of the Social Sciences 32 (2):206-218.
  46. Inference to the best explanation: Or, who won the Mill-Whewell debate?Peter Achinstein - 1992 - Studies in History and Philosophy of Science Part A 23 (2):349-364.
  47.  65
    Mechanistic Explanation of Biological Processes.Derek John Skillings - 2015 - Philosophy of Science 82 (5):1139-1151.
    Biological processes are often explained by identifying the underlying mechanisms that generate a phenomenon of interest. I characterize a basic account of mechanistic explanation and then present three challenges to this account, illustrated with examples from molecular biology. The basic mechanistic account is insufficient for explaining nonsequential and nonlinear dynamic processes, is insufficient for explaining the inherently stochastic nature of many biological mechanisms, and fails to give a proper framework for analyzing organization. I suggest that biological processes are best (...)
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  48.  3
    Explanation and Quantification in The Qualitative-Quantitative Distinction in the Social Sciences.P. T. Manicas - 1989 - Boston Studies in the Philosophy of Science 112:179-205.
  49.  2
    Explanation in the social sciences: a theoretical and empirical introduction.Leonardo Parri - 2014 - Soveria Mannelli: Rubbettino.
  50.  92
    Beyond Single‐Level Accounts: The Role of Cognitive Architectures in Cognitive Scientific Explanation.Richard P. Cooper & David Peebles - 2015 - Topics in Cognitive Science 7 (2):243-258.
    We consider approaches to explanation within the cognitive sciences that begin with Marr's computational level or Marr's implementational level and argue that each is subject to fundamental limitations which impair their ability to provide adequate explanations of cognitive phenomena. For this reason, it is argued, explanation cannot proceed at either level without tight coupling to the algorithmic and representation level. Even at this level, however, we argue that additional constraints relating to the decomposition of the cognitive system into (...)
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