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Inference to the Best Explanation

London and New York: Routledge (1991)

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  1. Scientific Realism.Timothy D. Lyons - 2014 - In Paul Humphreys (ed.), The Oxford Handbook of Philosophy of Science. New York, NY, USA: Oxford University Press. pp. 564-584.
    This article endeavors to identify the strongest versions of the two primary arguments against epistemic scientific realism: the historical argument—generally dubbed “the pessimistic meta-induction”—and the argument from underdetermination. It is shown that, contrary to the literature, both can be understood as historically informed but logically validmodus tollensarguments. After specifying the question relevant to underdetermination and showing why empirical equivalence is unnecessary, two types of competitors to contemporary scientific theories are identified, both of which are informed by science itself. With the (...)
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  • Psychoneural reduction: a perspective from neural circuits.David Parker - 2019 - Biology and Philosophy 34 (4):44.
    Psychoneural reduction has been debated extensively in the philosophy of neuroscience. In this article I will evaluate metascientific approaches that claim direct molecular and cellular explanations of cognitive functions. I will initially consider the issues involved in linking cellular properties to behaviour from the general perspective of neural circuits. These circuits that integrate the molecular and cellular components underlying cognition and behaviour, making consideration of circuit properties relevant to reductionist debates. I will then apply this general perspective to specific systems (...)
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  • How General Do Theories of Explanation Need To Be?Bernhard Nickel - 2010 - Noûs 44 (2):305-328.
    Theories of explanation seek to tell us what distinctively explanatory information is. The most ambitious ones, such as the DN-account, seek to tell us what an explanation is, tout court. Less ambitious ones, such as causal theories, restrict themselves to a particular domain of inquiry. The least ambitious theories constitute outright skepticism, holding that there is no reasonably unified phenomenon to give an account of. On these views, it is impossible to give any theories of explanation at all. I argue (...)
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  • What did Hume really show about induction?Samir Okasha - 2001 - Philosophical Quarterly 51 (204):307-327.
    Many philosophers agree that Hume was not simply objecting to inductive inferences on the grounds of their logical invalidity and that his description of our inductive behaviour was inadequate, but none the less regard his argument against induction as irrefutable. I argue that this constellation of opinions contains a serious tension. In the light of the tension, I re-examine Hume’s actual sceptical argument and show that the argument as it stands is valid but unsound. I argue that it can only (...)
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  • Peirce-suit of truth – why inference to the best explanation and abduction ought not to be confused.Gerhard Minnameier - 2004 - Erkenntnis 60 (1):75-105.
    It is well known that the process of scientific inquiry, according to Peirce, is drivenby three types of inference, namely abduction, deduction, and induction. What isbehind these labels is, however, not so clear. In particular, the common identificationof abduction with Inference to the Best Explanation (IBE) begs the question,since IBE appears to be covered by Peirce's concept of induction, not that of abduction.Consequently, abduction ought to be distinguished from IBE, at least on Peirce's account. The main aim of the paper, (...)
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  • The mindreader and the scientist.Heidi Maibom - 2003 - Mind and Language 18 (3):296-315.
    Among theory theorists, it is commonly thought that folk psychological theory is tacitly known. However, folk psychological knowledge has none of the central features of tacit knowledge. But if it is ordinary knowledge, why is it that we have difficulties expressing anything but a handful of folk psychological generalisations? The reason is that our knowledge is of theoretical models and hypotheses, not of universal generalisations. Adopting this alternative view of (scientific) theories, we come to see that, given time and reflection, (...)
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  • Skepticism, abductivism, and the explanatory gap.Ram Neta - 2004 - Philosophical Issues 14 (1):296-325.
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  • The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.
    Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...)
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  • The Explanatory Indispensability of Memory Traces.Felipe De Brigard - 2020 - The Harvard Review of Philosophy 27:23-47.
    During the first half of the twentieth century, many philosophers of memory opposed the postulation of memory traces based on the claim that a satisfactory account of remembering need not include references to causal processes involved in recollection. However, in 1966, an influential paper by Martin and Deutscher showed that causal claims are indeed necessary for a proper account of remembering. This, however, did not settle the issue, as in 1977 Malcolm argued that even if one were to buy Martin (...)
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  • Evidential Reasoning.Marcello Di Bello & Bart Verheij - 2011 - In G. Bongiovanni, Don Postema, A. Rotolo, G. Sartor, C. Valentini & D. Walton (eds.), Handbook in Legal Reasoning and Argumentation. Dordrecht, Netherland: Springer. pp. 447-493.
    The primary aim of this chapter is to explain the nature of evidential reasoning, the characteristic difficulties encountered, and the tools to address these difficulties. Our focus is on evidential reasoning in criminal cases. There is an extensive scholarly literature on these topics, and it is a secondary aim of the chapter to provide readers the means to find their way in historical and ongoing debates.
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  • Should Methodological Naturalists Commit to Metaphysical Naturalism?Zahra Zargar, Ebrahim Azadegan & Lotfollah Nabavi - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie:1-9.
    It is widely supposed that methodological naturalism, understood as a thesis about the methodology of science, is metaphysically neutral, and that this in turn guarantees the value-neutrality of science. In this paper we argue that methodological naturalism is underpinned by certain ontological and epistemological assumptions including evidentialism and the causal closure of the physical, adoption of which necessitates commitment to metaphysical naturalism.
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  • Dissecting explanatory power.Petri Ylikoski & Jaakko Kuorikoski - 2010 - Philosophical Studies 148 (2):201–219.
    Comparisons of rival explanations or theories often involve vague appeals to explanatory power. In this paper, we dissect this metaphor by distinguishing between different dimensions of the goodness of an explanation: non-sensitivity, cognitive salience, precision, factual accuracy and degree of integration. These dimensions are partially independent and often come into conflict. Our main contribution is to go beyond simple stipulation or description by explicating why these factors are taken to be explanatory virtues. We accomplish this by using the contrastive-counterfactual approach (...)
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  • Bohmian Mechanics: Realism and the “Box” Experiment.Chunling Yan - 2020 - Foundations of Science 26 (2):429-451.
    It is difficult to articulate how we should take a realist attitude towards Bohmian mechanics because there are many versions of it. This paper aims to clarify the realist commitments of Bohmian mechanics and how we can understand it from a general scientific realist perspective. I use the box experiment, a double-slit like experiment conducted by Cardone et al. :1–13, 2004; Int J Mod Phys B 20:1107–1121, 2006), as a working example to argue that a causal realist account that is (...)
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  • The Higgs discovery as a diagnostic causal inference.Adrian Wüthrich - 2017 - Synthese 194 (2).
    I reconstruct the discovery of the Higgs boson by the ATLAS collaboration at CERN as the application of a series of inferences from effects to causes. I show to what extent such diagnostic causal inferences can be based on well established knowledge gained in previous experiments. To this extent, causal reasoning can be used to infer the existence of entities, rather than just causal relationships between them. The resulting account relies on the principle of causality, attributes only a heuristic role (...)
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  • Pessimistic Inductions: Four Varieties.K. Brad Wray - 2015 - International Studies in the Philosophy of Science 29 (1):61-73.
    The pessimistic induction plays an important role in the contemporary realism/anti-realism debate in philosophy of science. But there is some disagreement about the structure and aim of the argument. And a number of scholars have noted that there is more than one type of PI in the philosophical literature. I review four different versions of the PI. I aim to show that PIs have been appealed to by philosophers of science for a variety of reasons. Even some realists have appealed (...)
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  • “The Scientific Method” as Myth and Ideal.Brian A. Woodcock - 2014 - Science & Education 23 (10):2069-2093.
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  • Against Reflective Equilibrium for Logical Theorizing.Jack Woods - 2019 - Australasian Journal of Logic 16 (7):319.
    I distinguish two ways of developing anti-exceptionalist approaches to logical revision. The first emphasizes comparing the theoretical virtuousness of developed bodies of logical theories, such as classical and intuitionistic logic. I'll call this whole theory comparison. The second attempts local repairs to problematic bits of our logical theories, such as dropping excluded middle to deal with intuitions about vagueness. I'll call this the piecemeal approach. I then briefly discuss a problem I've developed elsewhere for comparisons of logical theories. Essentially, the (...)
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  • Regression explanation and statistical autonomy.Joeri Witteveen - 2019 - Biology and Philosophy 34 (5):1-20.
    The phenomenon of regression toward the mean is notoriously liable to be overlooked or misunderstood; regression fallacies are easy to commit. But even when regression phenomena are duly recognized, it remains perplexing how they can feature in explanations. This article develops a philosophical account of regression explanations as “statistically autonomous” explanations that cannot be deepened by adducing details about causal histories, even if the explananda as such are embedded in the causal structure of the world. That regression explanations have statistical (...)
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  • MUDdy understanding.Daniel A. Wilkenfeld - 2017 - Synthese 194 (4).
    This paper focuses on two questions: Is understanding intimately bound up with accurately representing the world? Is understanding intimately bound up with downstream abilities? We will argue that the answer to both these questions is “yes”, and for the same reason-both accuracy and ability are important elements of orthogonal evaluative criteria along which understanding can be assessed. More precisely, we will argue that representational-accuracy and intelligibility are good-making features of a state of understanding. Interestingly, both evaluative claims have been defended (...)
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  • Knowledge as evidence.Timothy Williamson - 1997 - Mind 106 (424):1-25.
    It is argued that a subject's evidence consists of all and only the propositions that the subject knows.
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  • Agent-Based Modeling for the Theoretical Biologist.William A. Griffin - 2006 - Biological Theory 1 (4):404-409.
    Herein is provided a brief overview of agent-based modeling , with a particular slant toward its potential as a tool for the theoretical biologist. Of course, its use for experimentalists is obvious; they are, as a group, already using agent-based models to examine contemporary biological questions ranging from molecular processes to evolving ecological landscapes . For the modeler-theoretician, ABMs offer a new tool for thinking about the structure of biological processes, thus creating a conduit for integrative perspective taking between the (...)
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  • Theological Shamelessness? A Response to Arthur Peacocke and David A. Pailin.Vítor Westhelle - 2000 - Zygon 35 (1):165-172.
    This is a theological response to two programmatic essays, “Science and the Future of Theology: Critical Issues,” by Arthur Peacocke and “What Game is Being Played? The Need for Clarity about theRelationship between Scientific and Theological Understanding,” by David A. Pailin. It argues that the two authors, well informed by the recent developments in science, are reduplicating some methodological and epistemological trends common to nineteenth‐century theology. The feasibility of their project should, therefore, be examined on whether they succeed in answering (...)
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  • Locating IBE in the Bayesian Framework.Jonathan Weisberg - 2009 - Synthese 167 (1):125-143.
    Inference to the Best Explanation (IBE) and Bayesianism are our two most prominent theories of scientific inference. Are they compatible? Van Fraassen famously argued that they are not, concluding that IBE must be wrong since Bayesianism is right. Writers since then, from both the Bayesian and explanationist camps, have usually considered van Fraassen’s argument to be misguided, and have plumped for the view that Bayesianism and IBE are actually compatible. I argue that van Fraassen’s argument is actually not so misguided, (...)
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  • Induction and inference to the best explanation.Ruth Weintraub - 2013 - Philosophical Studies 166 (1):203-216.
    In this paper I adduce a new argument in support of the claim that IBE is an autonomous form of inference, based on a familiar, yet surprisingly, under-discussed, problem for Hume’s theory of induction. I then use some insights thereby gleaned to argue for the claim that induction is really IBE, and draw some normative conclusions.
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  • Emergence à la Systems Theory: Epistemological Totalausschluss or Ontological Novelty?Poe Yu-ze Wan - 2011 - Philosophy of the Social Sciences 41 (2):178-210.
    In this article, I examine Luhmann’s, Bunge’s and others’ views on emergence, and argue that Luhmann’s epistemological construal of emergence in terms of Totalausschluss (total exclusion) is both ontologically flawed and detrimental to an appropriate understanding of the distinctive features of social emergence. By contrast, Bunge’s rational emergentism, his CESM model, and Wimsatt’s characterization of emergence as nonaggregativity provide a useful framework to investigate emergence. While researchers in the field of social theory and sociology tend to regard Luhmann as the (...)
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  • Abductive logics in a belief revision framework.Bernard Walliser, Denis Zwirn & Hervé Zwirn - 2004 - Journal of Logic, Language and Information 14 (1):87-117.
    Abduction was first introduced in the epistemological context of scientific discovery. It was more recently analyzed in artificial intelligence, especially with respect to diagnosis analysis or ordinary reasoning. These two fields share a common view of abduction as a general process of hypotheses formation. More precisely, abduction is conceived as a kind of reverse explanation where a hypothesis H can be abduced from events E if H is a good explanation of E. The paper surveys four known schemes for abduction (...)
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  • Medicine as science. Systematicity and demarcation.Somogy Varga - 2021 - Synthese 199 (1-2):3783-3804.
    While medicine is solidly grounded on scientific areas such as biology and chemistry, some argue that it is in its essence not a science at all. With medicine playing a substantial societal role, addressing questions about the scientific nature of medicine is of obvious urgency. This paper takes on such a task and starts by consulting the literature on the “demarcation” problem in the philosophy of science. Learning from failures of earlier approaches, it proposes that we adopt a Deflated Approach, (...)
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  • Medicine as science. Systematicity and demarcation.Somogy Varga - 2020 - Synthese 22:1-22.
    While medicine is solidly grounded on scientific areas such as biology and chemistry, some argue that it is in its essence not a science at all. With medicine playing a substantial societal role, addressing questions about the scientific nature of medicine is of obvious urgency. This paper takes on such a task and starts by consulting the literature on the “demarcation” problem in the philosophy of science. Learning from failures of earlier approaches, it proposes that we adopt a Deflated Approach, (...)
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  • How to engage with experimental practices? Moderate versus radical constructivism.Henk van den Belt - 2003 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 34 (2):201-219.
    A central question in constructivist studies of science is how the analyst should deal with the material objects handled by scientific practitioners in laboratories. Representatives of ‘radical constructivism’ such as Knorr-Cetina and Latour have gone furthest in exploring the role of these ‘non-humans’ but have also maneuvered themselves in untenable positions due to a fatal conflation of different meanings of the term ‘construction’. The epistemological and ontological commitments of ‘moderate constructivism’ especially of the Strong Program defended by Barnes and Bloor, (...)
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  • Realism and the Epistemological Significance of Inference to the Best Explanation.Hamid Vahid - 2001 - Dialogue 40 (3):487-508.
    RÉSUMÉMalgré son usage très répandu, l'inférence à la meilleure explication a souvent été considérée avec suspicion par des théoriciens d'allégeances diverses. On lui a reproché à maintes reprises defaire reposer son recours à la simplicité et ses autres vertus explicatives sur des présuppositions métaphysiques douteuses. J'aborde ces questions, dans le présent article, dans le contexte d'une discussion large de l'usage de l'IME pour fonder notre croyance au monde extérieur. Distinguant entre la légitimité et l'efficacité de l'IME, je soutiendrai qu'elle constitue (...)
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  • Dinnaga and the Raven paradox.Joerg Tuske - 1998 - Journal of Indian Philosophy 26 (5):387-403.
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  • Understanding and the Norm of Explanation.John Turri - 2015 - Philosophia 43 (4):1171-1175.
    I propose and defend the hypothesis that understanding is the norm of explanation. On this proposal, an explanation should express understanding. I call this the understanding account of explanation. The understanding account is supported by social and introspective observations. It is also supported by the relationship between knowledge and understanding, on the one hand, and assertion and explanation, on the other.
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  • The functions of fossils: Inference and explanation in functional morphology.Derek Turner - 2000 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 31 (1):193-212.
    This paper offers an account of the relationship between inference and explanation in functional morphology which combines Robert Brandon's theory of adaptation explanation with standard accounts of inference to the best explanation. Inferences of function from structure, it is argued, are inferences to the best adaptation explanation. There are, however, three different approaches to the problem of determining which adaptation explanation is the best. The theory of inference to the best adaptation explanation is then applied to a case study from (...)
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  • 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 to (...)
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  • Beyond the Limits of Imagination: Abductive inferences from imagined phenomena.Michael Traynor - 2021 - Synthese 199:14293–14315.
    The present paper proposes a route to modal claims that allows us to infer to certain possibilities even if they are sensorily unimaginable and beyond the evidential capacity of stipulative imagining. After a brief introduction, Sect. 2 discusses imaginative resistance to help carve a niche for the kinds of inferences about which this essay is chiefly concerned. Section 3 provides three classic examples, along with a discussion of their similarities and differences. Section 4 recasts the notion of potential explanation in (...)
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  • Implicit Bias: from social structure to representational format.Josefa Toribio - 2018 - Theoria : An International Journal for Theory, History and Fundations of Science 33 (1):41-60.
    In this paper, I argue against the view that the representational structure of the implicit attitudes responsible for implicitly biased behaviour is propositional—as opposed to associationist. The proposal under criticism moves from the claim that implicit biased behaviour can occasionally be modulated by logical and evidential considerations to the view that the structure of the implicit attitudes responsible for such biased behaviour is propositional. I argue, in particular, against the truth of this conditional. Sensitivity to logical and evidential considerations, I (...)
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  • Abduction in economics: a conceptual framework and its model.Fernando Tohmé & Ricardo Crespo - 2013 - Synthese 190 (18):4215-4237.
    We discuss in this paper the scope of abduction in Economics. The literature on this type of inference shows that it can be interpreted in different ways, according to the role and nature of its outcome. We present a formal model that allows to capture these various meanings in different economic contexts.
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  • Unmasking the truth beneath the beauty: Why the supposed aesthetic judgements made in science may not be aesthetic at all.Cain S. Todd - 2008 - International Studies in the Philosophy of Science 22 (1):61 – 79.
    In this article I examine the status of putative aesthetic judgements in science and mathematics. I argue that if the judgements at issue are taken to be genuinely aesthetic they can be divided into two types, positing either a disjunction or connection between aesthetic and epistemic criteria in theory/proof assessment. I show that both types of claim face serious difficulties in explaining the purported role of aesthetic judgements in these areas. I claim that the best current explanation of this role, (...)
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  • Fitting Feelings and Elegant Proofs: On the Psychology of Aesthetic Evaluation in Mathematics†.Cain Todd - 2018 - Philosophia Mathematica 26 (2):211-233.
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  • Abduction and the Semiotics of Perception.Claudine Tiercelin - 2005 - Semiotica 2005 (153 - 1/4):389-412.
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  • Market epistemology.Michael Thicke - 2017 - Synthese:1-24.
    According to Margaret Gilbert’s collective epistemology, we should take attributions of beliefs to groups seriously, rather than metaphorically or as reducible to individual belief. I argue that, similarly, attributions of belief to markets ought to be taken seriously and not merely as reports of the average beliefs of market participants. While many of Gilbert’s purported examples of group belief are better thought of as instances of acceptance, some collectives, such as courts and markets, genuinely believe. Such collectives enact truth-aimed processes (...)
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  • Explanatory Identities and Conceptual Change.Paul Thagard - 2014 - Science & Education 23 (7):1531-1548.
    Although mind-brain identity remains controversial, many other identities of ordinary things with scientific ones are well established. For example, air is a mixture of gases, water is H2O, and fire is rapid oxidation. This paper examines the history of 15 important identifications: air, blood, cloud, earth, electricity, fire, gold, heat, light, lightning, magnetism, salt, star, thunder, and water. This examination yields surprising conclusions about the nature of justification, explanation, and conceptual change.
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  • Against explanatory realism.Elanor Taylor - 2018 - Philosophical Studies 175 (1):197-219.
    Explanatory realism is the position that all explanations give information about whatever metaphysically determines the explanandum. This view is popular and plays a central role in metaphysics, but in this paper I argue that explanatory realism is false. In Sect. 1 I introduce explanatory realism in its weak and strong versions, and discuss the argumentative work that explanatory realism is used for in contemporary metaphysics. In Sect. 2 I present a series of problem cases for explanatory realism, including explanation by (...)
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  • Causal Stability in Moral Contexts.Horia Tarnovanu - 2024 - Journal of Value Inquiry 58 (2):331-352.
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  • Universality caused: the case of renormalization group explanation.Emily Sullivan - 2019 - European Journal for Philosophy of Science 9 (3):36.
    Recently, many have argued that there are certain kinds of abstract mathematical explanations that are noncausal. In particular, the irrelevancy approach suggests that abstracting away irrelevant causal details can leave us with a noncausal explanation. In this paper, I argue that the common example of Renormalization Group explanations of universality used to motivate the irrelevancy approach deserves more critical attention. I argue that the reasons given by those who hold up RG as noncausal do not stand up to critical scrutiny. (...)
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  • Understanding: not know-how.Emily Sullivan - 2018 - Philosophical Studies 175 (1):221-240.
    There is considerable agreement among epistemologists that certain abilities are constitutive of understanding-why. These abilities include: constructing explanations, drawing conclusions, and answering questions. This agreement has led epistemologists to conclude that understanding is a kind of know-how. However, in this paper, I argue that the abilities constitutive of understanding are the same kind of cognitive abilities that we find in ordinary cases of knowledge-that and not the kind of practical abilities associated with know-how. I argue for this by disambiguating between (...)
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  • In vivo interpretation of in vitro effect studies with a detailed analysis of the method of in vitro transcription in isolated cell nuclei.Roger Strand, Ragnar Fjelland & Torgeir Flatmark - 1996 - Acta Biotheoretica 44 (1):1-21.
    In vitro experimental approaches are of central importance to contemporary molecular and cellular biology and toxicology. However, the scientific value or impact of in vitro results depends on their relevance in vivo. In vitro effect studies address inobservable in vivo phenomena through experiments on analogous in vitro phenomena. We present a theoretical basis developed to evaluate the in vivo relevance of in vitro effect studies. As a case study, the procedure for measuring specific gene transcription in isolated cell nuclei (nuclear (...)
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  • The Pursuit of Knowledge and the Problem of the Unconceived Alternatives.Fabio Sterpetti & Marta Bertolaso - 2020 - Topoi 39 (4):881-892.
    In the process of scientific discovery, knowledge ampliation is pursued by means of non-deductive inferences. When ampliative reasoning is performed, probabilities cannot be assigned objectively. One of the reasons is that we face the problem of the unconceived alternatives: we are unable to explore the space of all the possible alternatives to a given hypothesis, because we do not know how this space is shaped. So, if we want to adequately account for the process of knowledge ampliation, we need to (...)
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  • The no-free-lunch theorems of supervised learning.Tom F. Sterkenburg & Peter D. Grünwald - 2021 - Synthese 199 (3-4):9979-10015.
    The no-free-lunch theorems promote a skeptical conclusion that all possible machine learning algorithms equally lack justification. But how could this leave room for a learning theory, that shows that some algorithms are better than others? Drawing parallels to the philosophy of induction, we point out that the no-free-lunch results presuppose a conception of learning algorithms as purely data-driven. On this conception, every algorithm must have an inherent inductive bias, that wants justification. We argue that many standard learning algorithms should rather (...)
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  • Mathematical Explanations in Evolutionary Biology or Naturalism? A Challenge for the Statisticalist.Fabio Sterpetti - 2021 - Foundations of Science 27 (3):1073-1105.
    This article presents a challenge that those philosophers who deny the causal interpretation of explanations provided by population genetics might have to address. Indeed, some philosophers, known as statisticalists, claim that the concept of natural selection is statistical in character and cannot be construed in causal terms. On the contrary, other philosophers, known as causalists, argue against the statistical view and support the causal interpretation of natural selection. The problem I am concerned with here arises for the statisticalists because the (...)
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