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  1. Coherence of Inferences.Matheus Silva - manuscript
    It is usually accepted that deductions are non-informative and monotonic, inductions are informative and nonmonotonic, abductions create hypotheses but are epistemically irrelevant, and both deductions and inductions can’t provide new insights. In this article, I attempt to provide a more cohesive view of the subject with the following hypotheses: (1) the paradigmatic examples of deductions, such as modus ponens and hypothetical syllogism, are not inferential forms, but coherence requirements for inferences; (2) since any reasoner aims to be coherent, any inference (...)
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  • Natural goodness without natural history.Parisa Moosavi - 2022 - Philosophy and Phenomenological Research:78-100.
    Neo‐Aristotelian ethical naturalism purports to show that moral evaluation of human action and character is an evaluation of natural goodness—a kind of evaluation that applies to living things in virtue of their nature and based on their form of life. The standard neo‐Aristotelian view defines natural goodness by way of generic statements describing the natural history, or the ‘characteristic’ life, of a species. In this paper, I argue that this conception of natural goodness commits the neo‐Aristotelian view to a problematic (...)
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  • Monsters Among Us.Timothy Schroeder - 2001 - Canadian Journal of Philosophy 31 (sup1):167-184.
    There are monsters that scare children and monsters that scare grownups, and then there are monsters that scare philosophers of mind. This paper is concerned with this third sort of monster, whose primary representative is the zombie—a living being, physically just like a person but lacking consciousness. Though zombies act like normal people and appear to have normal brains, everything is blank inside. Unfortunately, the term ‘zombie’ covers a narrower class of deficits than is convenient, failing to cover apparently normal (...)
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  • Resources for Research on Analogy: A Multi-disciplinary Guide.Marcello Guarini, Amy Butchart, Paul Simard Smith & Andrei Moldovan - 2009 - Informal Logic 29 (2):84-197.
    Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...)
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  • Deep Disagreements and Rational Resolution.Jonathan Matheson - 2018 - Topoi (5):1-13.
    The purpose of this paper is to bring together work on disagreement in both epistemology and argumentation theory in a way that will advance the relevant debates. While these literatures can intersect in many ways, I will explore how some of views pertaining to deep disagreements in argumentation theory can act as an objection to a prominent view of the epistemology of disagreement—the Equal Weight View. To do so, I will explain the Equal Weight View of peer disagreement and show (...)
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  • Thinking about Non-Universal Laws: Introduction to the Special Issue Ceteris Paribus Laws Revisited.Alexander Reutlinger & Matthias Unterhuber - 2014 - Erkenntnis 79 (10):1703-1713.
    What are ceteris paribus laws? Which disciplines appeal to cp laws and which semantics, metaphysical underpinning, and epistemological dimensions do cp law statements have? Firstly, we give a short overview of the recent discussion on cp laws, which addresses these questions. Secondly, we suggest that given the rich and diverse literature on cp laws a broad conception of cp laws should be endorsed which takes into account the different ways in which laws can be non-universal . Finally, we provide an (...)
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  • A Theory of Non-universal Laws.Alexander Reutlinger - 2011 - International Studies in the Philosophy of Science 25 (2):97 - 117.
    Laws in the special sciences are usually regarded to be non-universal. A theory of laws in the special sciences faces two challenges. (I) According to Lange's dilemma, laws in the special sciences are either false or trivially true. (II) They have to meet the ?requirement of relevance?, which is a way to require the non-accidentality of special science laws. I argue that both challenges can be met if one distinguishes four dimensions of (non-) universality. The upshot is that I argue (...)
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  • Deep Disagreements and Rational Resolution.Jonathan Matheson - 2021 - Topoi 40 (5):1025-1037.
    The purpose of this paper is to bring together work on disagreement in both epistemology and argumentation theory in a way that will advance the relevant debates. While these literatures can intersect in many ways, I will explore how some of views pertaining to deep disagreements in argumentation theory can act as an objection to a prominent view of the epistemology of disagreement—the Equal Weight View. To do so, I will explain the Equal Weight View of peer disagreement and show (...)
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  • Framing the Epistemic Schism of Statistical Mechanics.Javier Anta - 2021 - Proceedings of the X Conference of the Spanish Society of Logic, Methodology and Philosophy of Science.
    In this talk I present the main results from Anta (2021), namely, that the theoretical division between Boltzmannian and Gibbsian statistical mechanics should be understood as a separation in the epistemic capabilities of this physical discipline. In particular, while from the Boltzmannian framework one can generate powerful explanations of thermal processes by appealing to their microdynamics, from the Gibbsian framework one can predict observable values in a computationally effective way. Finally, I argue that this statistical mechanical schism contradicts the Hempelian (...)
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  • The Propensity Interpretation of Probability: A Re-evaluation.Joseph Berkovitz - 2015 - Erkenntnis 80 (S3):629-711.
    Single-case and long-run propensity theories are among the main objective interpretations of probability. There have been various objections to these theories, e.g. that it is difficult to explain why propensities should satisfy the probability axioms and, worse, that propensities are at odds with these axioms, that the explication of propensities is circular and accordingly not informative, and that single-case propensities are metaphysical and accordingly non-scientific. We consider various propensity theories of probability and their prospects in light of these objections. We (...)
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  • Pragmatism and philosophy of science: A critical survey.Robert Almeder - 2007 - International Studies in the Philosophy of Science 21 (2):171 – 195.
    After delineating the distinguishing features of pragmatism, and noting the resources that pragmatists have available to respond effectively as pragmatists to the two major objections to pragmatism, I examine and critically evaluate the various proposals that pragmatists have offered as a solution to the problem of induction, followed by a discussion of the pragmatic positions on the status of theoretical entities. Thereafter I discuss the pragmatic posture toward the nature of explanation in science. I conclude that pragmatism has (a) a (...)
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  • Explaining the Success of Induction.Igor Douven - 2023 - British Journal for the Philosophy of Science 74 (2):381-404.
    It is undeniable that inductive reasoning has brought us much good. At least since Hume, however, philosophers have wondered how to justify our reliance on induction. In important recent work, Schurz points out that philosophers have been wrongly assuming that justifying induction is tantamount to showing induction to be reliable. According to him, to justify our reliance on induction, it is enough to show that induction is optimal. His optimality approach consists of two steps: an analytic argument for meta-induction (that (...)
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  • A.I., Scientific discovery and realism.Mario Alai - 2004 - Minds and Machines 14 (1):21-42.
    Epistemologists have debated at length whether scientific discovery is a rational and logical process. If it is, according to the Artificial Intelligence hypothesis, it should be possible to write computer programs able to discover laws or theories; and if such programs were written, this would definitely prove the existence of a logic of discovery. Attempts in this direction, however, have been unsuccessful: the programs written by Simon's group, indeed, infer famous laws of physics and chemistry; but having found no new (...)
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  • What makes neurophysiology meaningful? Semantic content ascriptions in insect navigation research.Kelle Dhein - 2020 - Biology and Philosophy 35 (5):1-22.
    In the course of investigating the living world, biologists regularly attribute semantic content to the phenomena they study. In this paper, I examine the case of a contemporary research program studying the navigation behaviors of ants and develop an account of the norms governing researchers’ ascriptions of semantic content in their research practices. The account holds that researchers assign semantic content to behaviors that reliably achieve a difficult goal-directed function, and it also suggests a productive role for attributions of semantic (...)
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  • Social action-functions.Raimo Tuomela - 1984 - Philosophy of the Social Sciences 14 (2):133-147.
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  • Context of Communication: What Philosophers can Contribute.Wayne C. Myrvold - unknown
    Once an experiment is done, the observations have been made and the data have been analyzed, what should scientists communicate to the world at large, and how should they do it? This, I will argue, is an intricate question, and one that philosophers can make a contribution to. I will illustrate these points by reference to the debate between Fisher and Neyman & Pearson in the 1950s, which I take to be, at heart, a debate about norms of scientific communication. (...)
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  • Question-driven stepwise experimental discoveries in biochemistry: two case studies.Michael Fry - 2022 - History and Philosophy of the Life Sciences 44 (2):1-52.
    Philosophers of science diverge on the question what drives the growth of scientific knowledge. Most of the twentieth century was dominated by the notion that theories propel that growth whereas experiments play secondary roles of operating within the theoretical framework or testing theoretical predictions. New experimentalism, a school of thought pioneered by Ian Hacking in the early 1980s, challenged this view by arguing that theory-free exploratory experimentation may in many cases effectively probe nature and potentially spawn higher evidence-based theories. Because (...)
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  • How to be a scientific realist (if at all): a study of partial realism.Dean Peters - 2012 - Dissertation, London School of Economics
    "Partial realism" is a common position in the contemporary philosophy of science literature. It states that the "essential" elements of empirically successful scientific theories accurately represent corresponding features the world. This thesis makes several novel contributions related to this position. Firstly, it offers a new definition of the concept of “empirical success”, representing a principled merger between the use-novelty and unification accounts. Secondly, it provides a comparative critical analysis of various accounts of which elements are "essential" to the success of (...)
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  • The effect of talk and writing on learning science: An exploratory study.Léonard P. Rivard & Stanley B. Straw - 2000 - Science Education 84 (5):566-593.
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