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  1. String Theory, Non-Empirical Theory Assessment, and the Context of Pursuit.Frank Cabrera - 2021 - Synthese 198:3671–3699.
    In this paper, I offer an analysis of the radical disagreement over the adequacy of string theory. The prominence of string theory despite its notorious lack of empirical support is sometimes explained as a troubling case of science gone awry, driven largely by sociological mechanisms such as groupthink (e.g. Smolin 2006). Others, such as Dawid (2013), explain the controversy by positing a methodological revolution of sorts, according to which string theorists have quietly turned to nonempirical methods of theory assessment given (...)
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  • (2 other versions)A Verisimilitude Framework for Inductive Inference, with an Application to Phylogenetics.Olav B. Vassend - 2018 - British Journal for the Philosophy of Science 71 (4):1359-1383.
    Bayesianism and likelihoodism are two of the most important frameworks philosophers of science use to analyse scientific methodology. However, both frameworks face a serious objection: much scientific inquiry takes place in highly idealized frameworks where all the hypotheses are known to be false. Yet, both Bayesianism and likelihoodism seem to be based on the assumption that the goal of scientific inquiry is always truth rather than closeness to the truth. Here, I argue in favour of a verisimilitude framework for inductive (...)
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  • A Verisimilitude Framework for Inductive Inference, with an Application to Phylogenetics.Vassend Olav Benjamin - unknown
    Bayesianism and likelihoodism are two of the most important frameworks philosophers of science use to analyse scientific methodology. However, both frameworks face a serious objection: much scientific inquiry takes place in highly idealized frameworks where all the hypotheses are known to be false. Yet, both Bayesianism and likelihoodism seem to be based on the assumption that the goal of scientific inquiry is always truth rather than closeness to the truth. Here, I argue in favor of a verisimilitude framework for inductive (...)
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  • No alternative to proliferation.Daniele Oriti - unknown
    We reflect on the nature, role and limits of non-empirical theory assessment in fundamental physics, focusing in particular on quantum gravity. We argue for the usefulness and, to some extent, necessity of non-empirical theory assessment, but also examine critically its dangers. We conclude that the principle of proliferation of theories is not only at the very root of theory assessment but all the more necessary when experimental tests are scarce, and also that, in the same situation, it represents the only (...)
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  • A Theory of Everything - Richard Dawid, String Theory and the Scientific Method. Cambridge: Cambridge University Press (2014), 212 pp., $29.99. [REVIEW]Samuel Schindler - 2016 - Philosophy of Science 83 (3):453-458.
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  • On "non-empirical confirmation" of string theory.Francois-Igor Pris - 2018 - Philosophy of Science (Философия Науки) 2:78-94.
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  • The curious case of Frank Ramsey’s proof of the multiplication rule of probability.Colin Howson - 2018 - Analysis 78 (3):431-439.
    Frank Ramsey in his paper ‘Truth and Probability’ was the first to develop a theory of utility based on a representation theorem, and a theory of partial belief based on utility-valued odds. But his proof of the multiplication theorem, on which in his system the law of addition depends, contains a step for which there seems to be no justification, and Ramsey provided no clue as to how to supply one. I conjecture that the missing justification appeals naturally to a (...)
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  • Confirmation by Explanation: A Bayesian Justification of IBE.Marko Tesic, Benjamin Eva & Stephan Hartmann - manuscript
    We provide a novel Bayesian justification of inference to the best explanation. More specifically, we present conditions under which explanatory considerations can provide a significant confirmatory boost for hypotheses that provide the best explanation of the relevant evidence. Furthermore, we show that the proposed Bayesian model of IBE is able to deal naturally with the best known criticisms of IBE such as van Fraassen?s?bad lot? argument.
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  • Delimiting the Unconceived.Richard Dawid - 2018 - Foundations of Physics 48 (5):492-506.
    It has been argued in Dawid that physicists at times generate substantial trust in an empirically unconfirmed theory based on observations that lie beyond the theory’s intended domain. A crucial role in the reconstruction of this argument of “non-empirical confirmation” is played by limitations to scientific underdetermination. The present paper discusses the question as to how generic the role of limitations to scientific underdetermination really is. It is argued that assessing such limitations is essential for generating trust in any theory’s (...)
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  • Scientific realism: what it is, the contemporary debate, and new directions.Darrell P. Rowbottom - 2019 - Synthese 196 (2):451-484.
    First, I answer the controversial question ’What is scientific realism?’ with extensive reference to the varied accounts of the position in the literature. Second, I provide an overview of the key developments in the debate concerning scientific realism over the past decade. Third, I provide a summary of the other contributions to this special issue.
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  • Epistemology of causal inference in pharmacology: Towards a framework for the assessment of harms.Juergen Landes, Barbara Osimani & Roland Poellinger - 2018 - European Journal for Philosophy of Science 8 (1):3-49.
    Philosophical discussions on causal inference in medicine are stuck in dyadic camps, each defending one kind of evidence or method rather than another as best support for causal hypotheses. Whereas Evidence Based Medicine advocates the use of Randomised Controlled Trials and systematic reviews of RCTs as gold standard, philosophers of science emphasise the importance of mechanisms and their distinctive informational contribution to causal inference and assessment. Some have suggested the adoption of a pluralistic approach to causal inference, and an inductive (...)
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  • Modeling and Inferring in Science.Emiliano Ippoliti, Thomas Nickles & Fabio Sterpetti - 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Cham: Springer. pp. 1-9.
    Science continually contributes new models and rethinks old ones. The way inferences are made is constantly being re-evaluated. The practice and achievements of science are both shaped by this process, so it is important to understand how models and inferences are made. But, despite the relevance of models and inference in scientific practice, these concepts still remain contro-versial in many respects. The attempt to understand the ways models and infer-ences are made basically opens two roads. The first one is to (...)
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  • The probabilistic no miracles argument.Jan Sprenger - 2016 - European Journal for Philosophy of Science 6 (2):173-189.
    This paper develops a probabilistic reconstruction of the No Miracles Argument in the debate between scientific realists and anti-realists. The goal of the paper is to clarify and to sharpen the NMA by means of a probabilistic formalization. In particular, we demonstrate that the persuasive force of the NMA depends on the particular disciplinary context where it is applied, and the stability of theories in that discipline. Assessments and critiques of "the" NMA, without reference to a particular context, are misleading (...)
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  • A Novel Solution to the Problem of Old Evidence.Jan Sprenger - 2015 - Philosophy of Science 82 (3):383-401.
    One of the most troubling and persistent challenges for Bayesian Confirmation Theory is the Problem of Old Evidence. The problem arises for anyone who models scientific reasoning by means of Bayesian Conditionalization. This article addresses the problem as follows: First, I clarify the nature and varieties of the POE and analyze various solution proposals in the literature. Second, I present a novel solution that combines previous attempts while making weaker and more plausible assumptions. Third and last, I summarize my findings (...)
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  • Philosophy of Physics.Elise M. Crull - 2013 - Analysis 73 (4):771-784.
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  • Confirmation, Coherence and the Strength of Arguments.Stephan Hartmann & Borut Trpin - 2023 - Proceedings of the Annual Meeting of the Cognitive Science Society 45:1473-1479.
    Alongside science and law, argumentation is also of central importance in everyday life. But what characterizes a good argument? This question has occupied philosophers and psychologists for centuries. The theory of Bayesian argumentation is particularly suitable for clarifying it, because it allows us to take into account in a natural way the role of uncertainty, which is central to much argumentation. Moreover, it offers the possibility of measuring the strength of an argument in probabilistic terms. One way to do this, (...)
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  • The Propagation of Suspension of Judgment.Aldo Filomeno - 2022 - Erkenntnis 89 (4):1327-1348.
    It is not uncommon in the history of science and philosophy to encounter crucial experiments or crucial objections the truth-value of which we are ignorant, that is, about which we suspend judgment. Should we ignore such objections? Contrary to widespread practice, I show that in and only in some circumstances they should not be ignored, for the epistemically rational doxastic attitude is to suspend judgment also about the hypothesis that the objection targets. In other words, suspension of judgment “propagates” from (...)
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  • Reality in Perspectives.Mahdi Khalili - 2022 - Dissertation, Vu University Amsterdam
    This dissertation is about human knowledge of reality. In particular, it argues that scientific knowledge is bounded by historically available instruments and theories; nevertheless, the use of several independent instruments and theories can provide access to the persistent potentialities of reality. The replicability of scientific observations and experiments allows us to obtain explorable evidence of robust entities and properties. The dissertation includes seven chapters. It also studies three cases – namely, Higgs bosons and hypothetical Ϝ-particles (section 2.4), the Ptolemaic and (...)
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  • On the very idea of pursuitworthiness.Jamie Shaw - 2022 - Studies in History and Philosophy of Science Part A 91 (C):103-112.
    Recent philosophical literature has turned its attention towards assessments of how to judge scientific proposals as worthy of further inquiry. Previous work, as well as papers contained within this special issue, propose criteria for pursuitworthiness (Achinstein, 1993; Whitt, 1992; DiMarco & Khalifa, 2019; Laudan, 1977; Shan, 2020; Šešelja et al., 2012). The purpose of this paper is to assess the grounds on which pursuitworthiness demands can be legitimately made. To do this, I propose a challenge to the possibility of even (...)
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  • Meta-Empirical Support for Eliminative Reasoning.C. D. McCoy - 2021 - Studies in History and Philosophy of Science Part A 90:15-29.
    Eliminative reasoning is a method that has been employed in many significant episodes in the history of science. It has also been advocated by some philosophers as an important means for justifying well-established scientific theories. Arguments for how eliminative reasoning is able to do so, however, have generally relied on a too narrow conception of evidence, and have therefore tended to lapse into merely heuristic or pragmatic justifications for their conclusions. This paper shows how a broader conception of evidence not (...)
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  • Bayes Nets and Rationality.Stephan Hartmann - 2021 - In Markus Knauff & Wolfgang Spohn (eds.), The Handbook of Rationality. London: MIT Press.
    Bayes nets are a powerful tool for researchers in statistics and artificial intelligence. This chapter demonstrates that they are also of much use for philosophers and psychologists interested in (Bayesian) rationality. To do so, we outline the general methodology of Bayes nets modeling in rationality research and illustrate it with several examples from the philosophy and psychology of reasoning and argumentation. Along the way, we discuss the normative foundations of Bayes nets modeling and address some of the methodological problems it (...)
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  • Reasonable Doubt and Alternative Hypotheses: A Bayesian Analysis.Stephan Hartmann & Ulrike Hahn - forthcoming - Journal.
    A longstanding question is the extent to which "reasonable doubt" may be expressed simply in terms of a threshold degree of belief. In this context, we examine the extent to which learning about possible alternatives may alter one's beliefs about a target hypothesis, even when no new "evidence" linking them to the hypothesis is acquired. Imagine the following scenario: a crime has been committed and Alice, the police's main suspect has been brought to trial. There are several pieces of evidence (...)
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  • Heuristics of String Theory.Nicolae Sfetcu - manuscript
    Since string theory has not been able to explain phenomena to date, it may seem that this confirms Feyerabend's view that there is no "method" of science. And yet, string theory is still the most active research program for quantum gravity. But, compared to other non-falsifiable theories, this has something extra, especially mathematical language, with a clear logic of deductions. Up to a point it can reproduce classical gauge theories and general relativity. And there is hope that in the not (...)
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  • Epistemology of Experimental Gravity - Scientific Rationality.Nicolae Sfetcu - manuscript
    The evolution of gravitational tests from an epistemological perspective framed in the concept of rational reconstruction of Imre Lakatos, based on his methodology of research programmes. Unlike other works on the same subject, the evaluated period is very extensive, starting with Newton's natural philosophy and up to the quantum gravity theories of today. In order to explain in a more rational way the complex evolution of the gravity concept of the last century, I propose a natural extension of the methodology (...)
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  • Bayesian Philosophy of Science.Jan Sprenger & Stephan Hartmann - 2019 - Oxford and New York: Oxford University Press.
    How should we reason in science? Jan Sprenger and Stephan Hartmann offer a refreshing take on classical topics in philosophy of science, using a single key concept to explain and to elucidate manifold aspects of scientific reasoning. They present good arguments and good inferences as being characterized by their effect on our rational degrees of belief. Refuting the view that there is no place for subjective attitudes in 'objective science', Sprenger and Hartmann explain the value of convincing evidence in terms (...)
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  • On the Origins of Old Evidence.Benjamin Eva & Stephan Hartmann - 2020 - Australasian Journal of Philosophy 98 (3):481-494.
    The problem of old evidence, first described by Glymour [1980], is still widely regarded as one of the most pressing foundational challenges to the Bayesian account of scientific reasoning. Many solutions have been proposed, but all of them have drawbacks and none is considered to be definitive. Here, we introduce and defend a new kind of solution, according to which hypotheses are confirmed when we become more confident that they provide the only way of accounting for the known evidence.
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  • Justifying the Norms of Inductive Inference.Olav Benjamin Vassend - 2022 - British Journal for the Philosophy of Science 73 (1):135-160.
    Bayesian inference is limited in scope because it cannot be applied in idealized contexts where none of the hypotheses under consideration is true and because it is committed to always using the likelihood as a measure of evidential favouring, even when that is inappropriate. The purpose of this article is to study inductive inference in a very general setting where finding the truth is not necessarily the goal and where the measure of evidential favouring is not necessarily the likelihood. I (...)
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  • Should Scientific Realists Embrace Theoretical Conservatism?Finnur Dellsén - 2018 - Studies in History and Philosophy of Science Part A:30-38.
    A prominent type of scientific realism holds that some important parts of our best current scientific theories are at least approximately true. According to such realists, radically distinct alternatives to these theories or theory-parts are unlikely to be approximately true. Thus one might be tempted to argue, as the prominent anti-realist Kyle Stanford recently did, that realists of this kind have little or no reason to encourage scientists to attempt to identify and develop theoretical alternatives that are radically distinct from (...)
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  • The Significance of Non-Empirical Confirmation in Fundamental Physics.Richard Dawid - 2019 - In Radin Dardashti, Richard Dawid & Karim Thebault (eds.), Why Trust a Theory? Epistemology of ModernPhysics. Cambridge University Press. pp. 99-119.
    In the absence of empirical confirmation, scientists may judge a theory's chances of being viable based on a wide range of arguments. The paper argues that such arguments can differ substantially with regard to their structural similarly to empirical confirmation. Arguments that resemble empirical confirmation in a number of crucial respects provide a better basis for reliable judgement and can, in a Bayesian sense, amount to significant \textit{non-empirical} confirmation. It is shown that three kinds of non-empirical confirmation that have been (...)
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  • What Can We Learn From Analogue Experiments?Karim P. Y. Thebault - unknown
    In 1981 Unruh proposed that fluid mechanical experiments could be used to probe key aspects of the quantum phenomenology of black holes. In particular, he claimed that an analogue to Hawking radiation could be created within a fluid mechanical `dumb hole', with the event horizon replaced by a sonic horizon. Since then an entire sub-field of `analogue gravity' has been created. In 2016 Steinhauer reported the experimental observation of quantum Hawking radiation and its entanglement in a Bose-Einstein condensate analogue black (...)
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  • Alternative explanations of the cosmic microwave background: A historical and an epistemological perspective.Milan M. Ćirković & Slobodan Perović - 2018 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 62:1-18.
    We historically trace various non-conventional explanations for the origin of the cosmic microwave background and discuss their merit, while analyzing the dynamics of their rejection, as well as the relevant physical and methodological reasons for it. It turns out that there have been many such unorthodox interpretations; not only those developed in the context of theories rejecting the relativistic paradigm entirely but also those coming from the camp of original thinkers firmly entrenched in the relativistic milieu. In fact, the orthodox (...)
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  • Models and Inferences in Science.Richard Dawid - 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Cham: Springer. pp. 191-205.
    The paper provides a presentation and motivation of the concept of non-empirical theory confirmation. Non-empirical theory confirmation is argued to play an important role in the scientific process that has not been adequately acknowledged so far. Its formalization within a Bayesian framework demonstrates that non-empirical confirmation does have the essential structural characteristics of theory confirmation.
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  • Bayesian Perspectives on the Discovery of the Higgs Particle.Richard Dawid - 2017 - Synthese 194 (2):377-394.
    It is argued that the high degree of trust in the Higgs particle before its discovery raises the question of a Bayesian perspective on data analysis in high energy physics in an interesting way that differs from other suggestions regarding the deployment of Bayesian strategies in the field.
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  • Higgs Discovery and the Look Elsewhere Effect.Richard Dawid - 2015 - Philosophy of Science 82 (1):76-96.
    The discovery of the Higgs particle required a signal of 5σ significance. The rigid application of that condition is a convention that disregards more specific aspects of the given experiment. In particular, it does not account for the characteristics of the look elsewhere effect in the individual experimental context. The paper relates this aspect of data analysis to the question as to what extent theoretical reasoning should be admitted to play a role in the assessment of the significance of empirical (...)
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  • Tightrope-Walking Rationality in Action: Feyerabendian Insights for the Foundations of Quantum Mechanics.Daniele Oriti - forthcoming - International Studies in the Philosophy of Science:1-33.
    We scan Paul K. Feyerabend's work in philosophy of physics and of science more generally for insights that could be useful for the contemporary debate on the foundations of quantum mechanics. We take as our starting point what Feyerabend has actually written about quantum mechanics, but we extend our analysis to his general views on realism, objectivity, pluralism, and the relation between physics and philosophy, finding that these more general views could in fact offer many interesting insights for physicists and (...)
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  • Cosmological inflation and meta-empirical theory assessment.William J. Wolf - 2024 - Studies in History and Philosophy of Science Part A 103 (C):146-158.
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  • (1 other version)Confirmation, or pursuit-worthiness? Lessons from J. J. Sakurai's 1960 theory of the strong force for the debate on non-empirical physics.Pablo Ruiz de Olano - 2023 - Studies in History and Philosophy of Science Part A 99 (C):77-88.
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  • Scientific Realism and Empirical Confirmation: a Puzzle.Simon Allzén - 2021 - Studies in History and Philosophy of Science Part A 90:153-159.
    Scientific realism driven by inference to the best explanation (IBE) takes empirically confirmed objects to exist, independent, pace empiricism, of whether those objects are observable or not. This kind of realism, it has been claimed, does not need probabilistic reasoning to justify the claim that these objects exist. But I show that there are scientific contexts in which a non-probabilistic IBE-driven realism leads to a puzzle. Since IBE can be applied in scientific contexts in which empirical confirmation has not yet (...)
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  • The reasonable doubt standard as inference to the best explanation.Hylke Jellema - 2020 - Synthese 199 (1-2):949-973.
    Explanationist accounts of rational legal proof view trials as a competition between explanations. Such accounts are often criticized for being underdeveloped. One question in need of further attention is when guilt is proven beyond a reasonable doubt in criminal trials. This article defends an inference to the best explanation -based approach on which guilt is only established BARD if the best guilt explanation in a case is substantially more plausible than any innocence explanation, and there is no good reason to (...)
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  • Explanatory Consolidation: From ‘Best’ to ‘Good Enough’.Finnur Dellsén - 2020 - Philosophy and Phenomenological Research 103 (1):157-177.
    In science and everyday life, we often infer that something is true because it would explain some set of facts better than any other hypothesis we can think of. But what if we have reason to believe that there is a better way to explain these facts that we just haven't thought of? Wouldn't that undermine our warrant for believing the best available explanation? Many philosophers have assumed that we can solve such underconsideration problems by stipulating that a hypothesis should (...)
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  • Assessing Scientific Theories: The Bayesian Approach.Stephan Hartmann & Radin Dardashti - 2019 - In Dawid Richard, Dardashti Radin & Thebault Karim (eds.), Epistemology of Fundamental Physics: Why Trust a Theory? Cambridge University Press. pp. 67–83.
    Scientific theories are used for a variety of purposes. For example, physical theories such as classical mechanics and electrodynamics have important applications in engineering and technology, and we trust that this results in useful machines, stable bridges, and the like. Similarly, theories such as quantum mechanics and relativity theory have many applications as well. Beyond that, these theories provide us with an understanding of the world and address fundamental questions about space, time, and matter. Here we trust that the answers (...)
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  • The epistemic impact of theorizing: generation bias implies evaluation bias.Finnur Dellsén - 2020 - Philosophical Studies 177 (12):3661-3678.
    It is often argued that while biases routinely influence the generation of scientific theories, a subsequent rational evaluation of such theories will ensure that biases do not affect which theories are ultimately accepted. Against this line of thought, this paper shows that the existence of certain kinds of biases at the generation-stage implies the existence of biases at the evaluation-stage. The key argumentative move is to recognize that a scientist who comes up with a new theory about some phenomena has (...)
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  • On the viability of the No Alternatives Argument.Tushar Menon - 2019 - Studies in History and Philosophy of Science Part A 76 (C):69-75.
    If we cannot directly empirically test the claims of particular scientific theory, then it would be nice to have some other criteria with which to assess its viability. In his 2013 book, String Theory and the Scientific Method, Richard Dawid aims to develop such criteria, with an eye to vindicating research programs in disciplines where direct empirical data is scant or non-existent. In an accompanying paper, Dawid, Hartmann and Sprenger formalise Dawid’s so-called ‘No Alternatives Argument’ using a generalised Bayesian framework, (...)
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  • Variety of Evidence.Jürgen Landes - 2020 - Erkenntnis 85 (1):183-223.
    Varied evidence confirms more strongly than less varied evidence, ceteris paribus. This epistemological Variety of Evidence Thesis enjoys widespread intuitive support. We put forward a novel explication of one notion of varied evidence and the Variety of Evidence Thesis within Bayesian models of scientific inference by appealing to measures of entropy. Our explication of the Variety of Evidence Thesis holds in many of our models which also pronounce on disconfirmatory and discordant evidence. We argue that our models pronounce rightly. Against (...)
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  • Imprecise probability in epistemology.Elkin Lee - 2017 - Dissertation, Ludwig–Maximilians–Universitat
    There is a growing interest in the foundations as well as the application of imprecise probability in contemporary epistemology. This dissertation is concerned with the application. In particular, the research presented concerns ways in which imprecise probability, i.e. sets of probability measures, may helpfully address certain philosophical problems pertaining to rational belief. The issues I consider are disagreement among epistemic peers, complete ignorance, and inductive reasoning with imprecise priors. For each of these topics, it is assumed that belief can be (...)
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  • Novel Confirmation and the Underdetermination of Scientific Theory Building.Richard Dawid - unknown
    The extra value of novel confirmation over accommodation is explained based on an analysis of the underdetermination of scientific theory building. Novel confirmation can provide information on the number of possible scientific alternatives to a predictively successful theory. This information, in turn, can raise the probability that the given theory is true or will be empirically viable in the future.
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  • A note on “The no alternatives argument” by Richard Dawid, Stephan Hartmann and Jan Sprenger.Frederik Herzberg - 2014 - European Journal for Philosophy of Science 4 (3):375-384.
    The defence of The No Alternatives Argument in a recent paper by R. Dawid, S. Hartmann and J. Sprenger rests on the assumption that the number of acceptable alternatives to a scientific hypothesis is independent of the complexity of the scientific problem. This note proves a generalisation of the main theorem by Dawid, Hartmann and Sprenger, where this independence assumption is no longer necessary. Some of the other assumptions are also discussed, and the limitations of the no-alternatives argument are explored.
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  • Reasonable Doubt from Unconceived Alternatives.Hylke Jellema - 2024 - Erkenntnis 89 (3):971-996.
    In criminal trials, judges or jurors have to decide whether the facts described in the indictment are proven beyond a reasonable doubt. However, these decision-makers cannot always imagine every relevant sequence of events—there may be unconceived alternatives. The possibility of unconceived alternatives is an overlooked source of reasonable doubt. I argue that decision-makers should not consider the defendant’s guilt proven if they have good reasons to believe that plausible, unconceived scenarios exist. I explore this thesis through the lens of the (...)
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  • Meta-empirical confirmation: Addressing three points of criticism.Richard Dawid - 2022 - Studies in History and Philosophy of Science Part A 93 (C):66-71.
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  • When no Reason for is a Reason against.Benjamin Eva & Stephan Hartmann - 2018 - Analysis 78 (3):426-431.
    We provide a Bayesian justification of the idea that, under certain conditions, the absence of an argument in favour of the truth of a hypothesis H constitutes a good argument against the truth of H.
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