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  1. Model Explanation Versus Model-Induced Explanation.Insa Lawler & Emily Sullivan - 2021 - Foundations of Science 26 (4):1049-1074.
    Scientists appeal to models when explaining phenomena. Such explanations are often dubbed model explanations or model-based explanations. But what are the precise conditions for ME? Are ME special explanations? In our paper, we first rebut two definitions of ME and specify a more promising one. Based on this analysis, we single out a related conception that is concerned with explanations that are induced from working with a model. We call them ‘model-induced explanations’. Second, we study three paradigmatic cases of alleged (...)
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  • Levels of reasons why and answers to why questions.Insa Lawler - 2019 - Philosophy of Science 86 (1):168-177.
    According to Skow (2016, 2017), correct answers to why-questions only cite causes or grounds, but not non-accidental regularities. Accounts that cite non-accidental regularities typically confuse second-level reasons with first-level reasons. Only causes and grounds are first-level reasons why. Non-accidental regularities are second-level reasons why. I first show that Skow's arguments for the accusation of confusion depend on the independent thesis that only citations of first-level reasons why are (parts of) answers to why-questions. Then, I argue that this thesis is false. (...)
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  • Four Meta-methods for the Study of Qualia.Lok-Chi Chan & Andrew J. Latham - 2019 - Erkenntnis 84 (1):145-167.
    In this paper, we describe four broad ‘meta-methods’ employed in scientific and philosophical research of qualia. These are the theory-centred metamethod, the property-centred meta-method, the argument-centred meta-method, and the event-centred meta-method. Broadly speaking, the theory-centred meta-method is interested in the role of qualia as some theoretical entities picked out by our folk psychological theories; the property-centred meta-method is interested in some metaphysical properties of qualia that we immediately observe through introspection ; the argument-centred meta-method is interested in the role of (...)
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  • Towards Teaching Chemistry as a Language.Pierre Laszlo - 2013 - Science & Education 22 (7):1669-1706.
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  • How Can Instantaneous Velocity Fulfill Its Causal Role?Marc Lange - 2005 - Philosophical Review 114 (4):433-468.
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  • How can instantaneous velocity fulfill its causal role?Marc Lange - 2005 - Philosophical Review 114 (4):433-468.
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  • Fall and Rise of Aristotelian Metaphysics in the Philosophy of Science.John Lamont - 2009 - Science & Education 18 (6-7):861-884.
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  • The scientistic stance: the empirical and materialist stances reconciled.James Ladyman - 2011 - Synthese 178 (1):87-98.
    Abstractvan Fraassen (The empirical stance, 2002) contrasts the empirical stance with the materialist stance. The way he describes them makes both of them attractive, and while opposed they have something in common for both stances are scientific approaches to philosophy. The difference between them reflects their differing conceptions of science itself. Empiricists emphasise fallibilism, verifiability and falsifiability, and also to some extent scepticism and tolerance of novel hypotheses. Materialists regard the theoretical picture of the world as matter in motion as (...)
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  • Using Logic to Evolve More Logic: Composing Logical Operators via Self-Assembly.Travis LaCroix - 2022 - British Journal for the Philosophy of Science 73 (2):407-437.
    I consider how complex logical operations might self-assemble in a signalling-game context via composition of simpler underlying dispositions. On the one hand, agents may take advantage of pre-evolved dispositions; on the other hand, they may co-evolve dispositions as they simultaneously learn to combine them to display more complex behaviour. In either case, the evolution of complex logical operations can be more efficient than evolving such capacities from scratch. Showing how complex phenomena like these might evolve provides an additional path to (...)
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  • Epistemology and the Structure of Language.Travis LaCroix & Jeffrey A. Barrett - 2020 - Erkenntnis 87 (2):953-967.
    We are concerned here with how structural properties of language may come to reflect features of the world in which it evolves. As a concrete example, we will consider how a simple term language might evolve to support the principle of indifference over state descriptions in that language. The point is not that one is justified in applying the principle of indifference to state descriptions in natural language. Instead, it is that one should expect a language that has evolved in (...)
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  • What does Ghiselin mean by “individual”?Joseph B. Kruskal - 1981 - Behavioral and Brain Sciences 4 (2):294-295.
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  • Weakness of the Scientific Hypotheses about the Origin of Life.Tonći Kokić - 2018 - Filozofia Nauki 26 (1):9-21.
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  • Explanation and its problems. [REVIEW]Noretta Koertge - 1992 - British Journal for the Philosophy of Science 43 (1):85-98.
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  • Reflections on social theory.Joseph J. Kockelmans - 1978 - Human Studies 1 (1):1 - 15.
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  • Group size, language and evolutionary mechanisms.Harold Kincaid - 1993 - Behavioral and Brain Sciences 16 (4):713-714.
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  • Can Neoclassical Economics Be Defended on Grounds of Explanatory Power?Harold Kincaid - 1996 - Southern Journal of Philosophy 34 (S1):155-177.
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  • Multiple Realizations, Diverse Implementations and Antireductionism.Sungsu Kim - 2009 - Theoria 75 (3):232-244.
    It has been debated what implications multiple realizability has for reductionism. I claim that more explicit attention needs to be paid to the distinction between multiple realizations of kinds and diverse implementations of laws. In this paper, I distinguish two different theses on the relations between multiple realization and diverse implementation: one thesis states that multiple realizations imply diverse implementations and the other states the converse. I claim that although antireductionism might turn out to be false if the first thesis (...)
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  • Imprecise Bayesianism and Inference to the Best Explanation.Namjoong Kim - 2023 - Foundations of Science 28 (2):755-781.
    According to van Fraassen, inference to the best explanation (IBE) is incompatible with Bayesianism. To argue to the contrary, many philosophers have suggested hybrid models of scientific reasoning with both explanationist and probabilistic elements. This paper offers another such model with two novel features. First, its Bayesian component is imprecise. Second, the domain of credence functions can be extended.
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  • Is understanding explanatory or objectual?Kareem Khalifa - 2013 - Synthese 190 (6):1153-1171.
    Jonathan Kvanvig has argued that “objectual” understanding, i.e. the understanding we have of a large body of information, cannot be reduced to explanatory concepts. In this paper, I show that Kvanvig fails to establish this point, and then propose a framework for reducing objectual understanding to explanatory understanding.
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  • Inference, Explanation, and Asymmetry.Kareem Khalifa, Jared Millson & Mark Risjord - 2018 - Synthese (Suppl 4):929-953.
    Explanation is asymmetric: if A explains B, then B does not explain A. Tradition- ally, the asymmetry of explanation was thought to favor causal accounts of explanation over their rivals, such as those that take explanations to be inferences. In this paper, we develop a new inferential approach to explanation that outperforms causal approaches in accounting for the asymmetry of explanation.
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  • Explanatoriness: Cause versus Craig.Jukka Keränen & Wesley Salmon - 2005 - Synthese 143 (1-2):125 - 147.
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  • A New Mark of the Cognitive? Predictive Processing and Extended Cognition.Luke Kersten - 2022 - Synthese 200 (281):1-25.
    There is a longstanding debate between those who think that cognition extends into the external environment and those who think it is located squarely within the individual. Recently, a new actor has emerged on the scene, one that looks to play kingmaker. Predictive processing says that the mind/brain is fundamentally engaged in a process of minimising the difference between what is predicted about the world and how the world actually is, what is known as ‘prediction error minimisation’. The goal of (...)
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  • Understanding phenomena.Christoph Kelp - 2015 - Synthese 192 (12):3799-3816.
    The literature on the nature of understanding can be divided into two broad camps. Explanationists believe that it is knowledge of explanations that is key to understanding. In contrast, their manipulationist rivals maintain that understanding essentially involves an ability to manipulate certain representations. The aim of this paper is to provide a novel knowledge based account of understanding. More specifically, it proposes an account of maximal understanding of a given phenomenon in terms of fully comprehensive and maximally well-connected knowledge of (...)
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  • Inquiry, knowledge and understanding.Christoph Kelp - 2018 - Synthese 198 (Suppl 7):1583-1593.
    This paper connects two important debates in epistemology—to wit, on the goal of inquiry and on the nature of understanding—and offers a unified knowledge-based account of both.
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  • Evidence: Fundamental concepts and the phenomenal conception.Thomas Kelly - 2008 - Philosophy Compass 3 (5):933-955.
    The concept of evidence is among the central concerns of epistemology broadly construed. As such, it has long engaged the intellectual energies of both philosophers of science and epistemologists of a more traditional variety. Here I briefly survey some of the more important ideas to have emerged from this tradition of reflection. I then look somewhat more closely at an issue that has recently come to the fore, largely as a result of Williamson's Knowledge and Its Limits: that of whether (...)
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  • Common sense as evidence: Against revisionary ontology and skepticism.Thomas Kelly - 2008 - Midwest Studies in Philosophy 32 (1):53-78.
    In this age of post-Moorean modesty, many of us are inclined to doubt that philosophy is in possession of arguments that might genuinely serve to undermine what we ordinarily believe. It may perhaps be conceded that the arguments of the skeptic appear to be utterly compelling; but the Mooreans among us will hold that the very plausibility of our ordinary beliefs is reason enough for supposing that there must be something wrong in the skeptic’s arguments, even if we are unable (...)
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  • Natural categories and natural concepts.Frank C. Keil - 1981 - Behavioral and Brain Sciences 4 (2):293-294.
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  • Nonreductive Individualism.Sawyer R. Keith - 2002 - Philosophy of the Social Sciences 32 (4):537-559.
    The author draws on arguments from contemporary philosophy of mind to provide an argument for sociological collectivism. This argument for nonreductive individualism accepts that only individuals exist but rejects methodological individualism. In Part I, the author presents the argument for nonreductive individualism by working through the implications of supervenience, multiple realizability, and wild disjunction in some detail. In Part II, he extends the argument to provide a defense for social causal laws, and this account of social causation does not require (...)
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  • Thought Experiments and The Pragmatic Nature of Explanation.Panagiotis Karadimas - forthcoming - Foundations of Science:1-24.
    Different why-questions emerge under different contexts and require different information in order to be addressed. Hence a relevance relation can hardly be invariant across contexts. However, what is indeed common under any possible context is that all explananda require scientific information in order to be explained. So no scientific information is in principle explanatorily irrelevant, it only becomes so under certain contexts. In view of this, scientific thought experiments can offer explanations, should we analyze their representational strategies. Their representations involve (...)
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  • How do norms emerge? An outline of a theory.Karl-Dieter Opp - 2001 - Mind and Society 2 (1):101-128.
    The social science literature abounds with unconnected and, so it seems, diverse propositions about the emergence of norms. This article sets out to show that many of these propositions only differ in regard to terminology. Proponents of different theoretical orientations seem to accept a key hypothesis that is called “instrumentality proposition”: norms emerge if they are instrumental for attaining the goals of a group of actors. Apart from a problematic functionalist version the article focuses on an individualistic version: if actors (...)
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  • Explanations by mechanisms in the social sciences. Problems, advantages and alternatives.Karl-Dieter Opp - 2005 - Mind and Society 4 (2):163-178.
    This paper discusses various problems of explanations by mechanisms. Two positions are distinguished: the narrow position claims that only explanations by mechanisms are acceptable. It is argued that this position leads to an infinite regress because the discovery of a mechanism must entail the search for other mechanisms etc. Another paradoxical consequence of this postulate is that every successful explanation by mechanisms is unsatisfactory because it generates new ``black box'' explanations. The second – liberal – position that is advanced in (...)
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  • Dynamical Models: An Alternative or Complement to Mechanistic Explanations?David M. Kaplan & William Bechtel - 2011 - Topics in Cognitive Science 3 (2):438-444.
    Abstract While agreeing that dynamical models play a major role in cognitive science, we reject Stepp, Chemero, and Turvey's contention that they constitute an alternative to mechanistic explanations. We review several problems dynamical models face as putative explanations when they are not grounded in mechanisms. Further, we argue that the opposition of dynamical models and mechanisms is a false one and that those dynamical models that characterize the operations of mechanisms overcome these problems. By briefly considering examples involving the generation (...)
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  • On reduction of theories.Andreas Kamlah - 1985 - Erkenntnis 22 (1-3):119 - 142.
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  • Normativity in the Philosophy of Science.Marie I. Kaiser - 2019 - Metaphilosophy 50 (1-2):36-62.
    This paper analyzes what it means for philosophy of science to be normative. It argues that normativity is a multifaceted phenomenon rather than a general feature that a philosophical theory either has or lacks. It analyzes the normativity of philosophy of science by articulating three ways in which a philosophical theory can be normative. Methodological normativity arises from normative assumptions that philosophers make when they select, interpret, evaluate, and mutually adjust relevant empirical information, on which they base their philosophical theories. (...)
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  • Diagrams as locality aids for explanation and model construction in cell biology.Nicholaos Jones & Olaf Wolkenhauer - 2012 - Biology and Philosophy 27 (5):705-721.
    Using as case studies two early diagrams that represent mechanisms of the cell division cycle, we aim to extend prior philosophical analyses of the roles of diagrams in scientific reasoning, and specifically their role in biological reasoning. The diagrams we discuss are, in practice, integral and indispensible elements of reasoning from experimental data about the cell division cycle to mathematical models of the cycle’s molecular mechanisms. In accordance with prior analyses, the diagrams provide functional explanations of the cell cycle and (...)
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  • Categorization and affordances.Rebecca K. Jones & Anne D. Pick - 1981 - Behavioral and Brain Sciences 4 (2):292-293.
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  • ‘Species-typicality’: Can individuals have typical parts?Timothy D. Johnston - 1981 - Behavioral and Brain Sciences 4 (2):291-292.
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  • Number our days: Quantifying social evolution.Harry J. Jerison - 1993 - Behavioral and Brain Sciences 16 (4):712-713.
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  • Romeo, René, and the reasons why: What explanation is.C. S. Jenkins - 2008 - Proceedings of the Aristotelian Society 108 (1pt1):61-84.
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  • Backwards explanation.C. S. Jenkins & Daniel Nolan - 2008 - Philosophical Studies 140 (1):103 - 115.
    We discuss explanation of an earlier event by a later event, and argue that prima facie cases of backwards event explanation are ubiquitous. Some examples: (1) I am tidying my flat because my brother is coming to visit tomorrow. (2) The scarlet pimpernels are closing because it is about to rain. (3) The volcano is smoking because it is going to erupt soon. We then look at various ways people might attempt to explain away these prima facie cases by arguing (...)
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  • Hunter-gatherer sociospatial organization and group size.Robert Jarvenpa - 1993 - Behavioral and Brain Sciences 16 (4):712-712.
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  • Primate group size, brains and communication: A New World perspective.Charles H. Janson - 1993 - Behavioral and Brain Sciences 16 (4):711-712.
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  • Sizing up social groups.Bob Jacobs & Michael J. Raleigh - 1993 - Behavioral and Brain Sciences 16 (4):710-711.
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  • A Family Resemblance Approach to the Nature of Science for Science Education.Gürol Irzık, Gurol Irzik & Robert Nola - 2011 - Science & Education 20 (7-8):591-607.
    Although there is universal consensus both in the science education literature and in the science standards documents to the effect that students should learn not only the content of science but also its nature, there is little agreement about what that nature is. This led many science educators to adopt what is sometimes called “the consensus view” about the nature of science (NOS), whose goal is to teach students only those characteristics of science on which there is wide consensus. This (...)
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  • Explication et pertinence : du sel ensorcelé à la loi des aires.Cyrille Imbert - 2011 - Dialogue 50 (4):689-723.
    ABSTRACT: Whereas relevance in scientific explanations is usually discussed as if it was a single problem, several criteria of relevance will be distinguished in this paper. Emphasis is laid upon the notion of intra-scientific relevance, which is illustrated using explanation of the law of areas as an example. Traditional accounts of explanation, such as the causal and unificationist accounts, are analyzed against these criteria of relevance. Particularly, it will be shown that these accounts fail to indicate which explanations fulfill the (...)
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  • Normativity, probability, and meta-vagueness.Masaki Ichinose - 2017 - Synthese 194 (10):3879-3900.
    This paper engages with a specific problem concerning the relationship between descriptive and normative claims. Namely, if we understand that descriptive claims frequently contain normative assertions, and vice versa, how then do we interpret the traditionally rigid distinction that is made between the two, as ’Hume’s law’ or Moore’s ’naturalistic fallacy’ argument offered. In particular, Kripke’s interpretation of Wittgenstein’s ’rule-following paradox’ is specially focused upon in order to re-consider the rigid distinction. As such, the paper argues that if descriptive and (...)
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  • Size of human groups during the Paleolithic and the evolutionary significance of increased group size.Michael E. Hyland - 1993 - Behavioral and Brain Sciences 16 (4):709-710.
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  • Introduction: the plurality of modeling.Philippe Huneman & Maël Lemonie - 2014 - History and Philosophy of the Life Sciences 36 (1):5-15.
    Philosophers of science have recently focused on the scientific activity of modeling phenomena, and explicated several of its properties, as well as the activities embedded into it. A first approach to modeling has been elaborated in terms of representing a target system: yet other epistemic functions, such as producing data or detecting phenomena, are at least as relevant. Additional useful distinctions have emerged, such as the one between phenomenological and mechanistic models. In biological sciences, besides mathematical models, models now come (...)
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  • What Should We Expect of a Liberal Explanatory Theory?Adam Rc Humphreys - 2012 - Journal of International Political Theory 8 (1-2):25-47.
    One of the most problematic aspects of the ‘Harvard School’ of liberal international theory is its failure to fulfil its own methodological ideals. Although Harvard School liberals subscribe to a nomothetic model of explanation, in practice they employ their theories as heuristic resources. Given this practice, we should expect them neither to develop candidate causal generalizations nor to be value-neutral: their explanatory insights are underpinned by value-laden choices about which questions to address and what concepts to employ. A key question (...)
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  • Aleatory explanations.Paul W. Humphreys - 1981 - Synthese 48 (2):225 - 232.
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