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  1. Coherence of Our Best Scientific Theories.Seungbae Park - 2011 - Foundations of Science 16 (1):21-30.
    Putnam (1975) infers from the success of a scientific theory to its approximate truth and the reference of its key term. Laudan (1981) objects that some past theories were successful, and yet their key terms did not refer, so they were not even approximately true. Kitcher (1993) replies that the past theories are approximately true because their working posits are true, although their idle posits are false. In contrast, I argue that successful theories which cohere with each other are approximately (...)
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  • Two arguments for scientific realism unified.Harker David - 2010 - Studies in History and Philosophy of Science Part A 41 (2):192-202.
    Inferences from scientific success to the approximate truth of successful theories remain central to the most influential arguments for scientific realism. Challenges to such inferences, however, based on radical discontinuities within the history of science, have motivated a distinctive style of revision to the original argument. Conceding the historical claim, selective realists argue that accompanying even the most revolutionary change is the retention of significant parts of replaced theories, and that a realist attitude towards the systematically retained constituents of our (...)
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  • Must Scientific Realists Respond to The Challenge of the PMI?Zoltán Vecsey - forthcoming - Teorie Vědy / Theory of Science.
    The Pessimistic Meta-Induction (PMI) says that because most past scientific theories turned out to be false, we have no reason to believe in the truthfulness of our current scientific theories. According to current consensus, this anti-realist argument presents a serious challenge to which proponents of the realist conception of science must give a response. In accordance with this requirement, some scientific realists try to demonstrate that PMI is a fallacious argument. Other realists make an attempt to block the pessimistic conclusion. (...)
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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 Unificatory Power of Scientific Realism.Seungbae Park - 2017 - Disputatio 9 (44):59–73.
    The no-miracles argument (Putnam, 1975) holds that science is successful because successful theories are (approximately) true. Frost-Arnold (2010) objects that this argument is unacceptable because it generates neither new predictions nor unifications. It is similar to the unacceptable explanation that opium puts people to sleep because it has a dormative virtue. I reply that on close examination, realism explains not only why some theories are successful but also why successful theories exist in current science. Therefore, it unifies the disparate phenomena.
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  • Realism Versus Surrealism.Seungbae Park - 2016 - Foundations of Science 21 (4):603-614.
    Realism and surrealism claim, respectively, that a scientific theory is successful because it is true, and because the world operates as if it is true. Lyons :891–901, 2003) criticizes realism and argues that surrealism is superior to realism. I reply that Lyons’s criticisms against realism fail. I also attempt to establish the following two claims: Realism and surrealism lead to a useful prescription and a useless prescription, respectively, on how to make an unsuccessful theory successful. Realism and surrealism give the (...)
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  • On the predilections for predictions.David Harker - 2008 - British Journal for the Philosophy of Science 59 (3):429-453.
    Scientific theories are developed in response to a certain set of phenomena and subsequently evaluated, at least partially, in terms of the quality of fit between those same theories and appropriately distinctive phenomena. To differentiate between these two stages it is popular to describe the former as involving the accommodation of data and the latter as involving the prediction of data. Predictivism is the view that, ceteris paribus, correctly predicting data confers greater confirmation than successfully accommodating data. In this paper, (...)
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  • Theoretical fertility McMullin-style.Samuel Schindler - 2017 - European Journal for Philosophy of Science 7 (1):151-173.
    A theory’s fertility is one of the standard theoretical virtues. But how is it to be construed? In current philosophical discourse, particularly in the realism debate, theoretical fertility is usually understood in terms of novel success: a theory is fertile if it manages to make successful novel predictions. Another, more permissible, notion of fertility can be found in the work of Ernan McMullin. This kind of fertility, McMullin claims, gives us just as strong grounds for realism. My paper critically assesses (...)
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  • Dimensions of predictive success.Pekka Syrjänen - forthcoming - British Journal for the Philosophy of Science.
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