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  1. added 2020-06-02
    Multiple-Models Juxtaposition and Trade-Offs Among Modeling Desiderata.Yoshinari Yoshida - forthcoming - Philosophy of Science.
    This paper offers a characterization of what I call multiple-models juxtaposition (MMJ), a strategy for managing trade-offs among modeling desiderata. MMJ displays models of distinct phenomena together and fulfills different desiderata both in the individual models and by a comparison of those models. I discuss a concrete case from developmental biology, where MMJ coordinates generality and detail. I also clarify the distinction between MMJ and multiple-models idealization (MMI), which also uses multiple models to manage trade-offs among desiderata. MMJ and MMI (...)
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  2. added 2020-05-28
    Model Anarchism.Walter Veit - manuscript
    This paper constitutes a radical departure from the existing philosophical literature on models, modeling-practices, and model-based science. I argue that the various entities and practices called 'models' and 'modeling-practices' are too diverse, too context-sensitive, and serve too many scientific purposes and roles, as to allow for a general philosophical analysis. From this recognition an alternative view emerges that I shall dub model anarchism.
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  3. added 2020-05-16
    Unrealistic Models for Realistic Computations: How Idealisations Help Represent Mathematical Structures and Found Scientific Computing.Philippos Papayannopoulos - forthcoming - Synthese:1-35.
    We examine two very different approaches to formalising real computation, commonly referred to as “Computable Analysis” and “the BSS approach”. The main models of computation underlying these approaches—bit computation and BSS, respectively—have also been put forward as appropriate foundations for scientific computing. The two frameworks offer useful computability and complexity results about problems whose underlying domain is an uncountable space or \). Since typically the problems dealt with in physical sciences, applied mathematics, economics, and engineering are also defined in uncountable (...)
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  4. added 2020-05-08
    Metafore, modelli, linguaggio scientifico: il dibattito postempirista.Sergio Volodia Marcello Cremaschi - 1988 - In Melchiorre Virgilio (ed.), Simbolo e conoscenza. Milan, Italy: VIta e Pensiero. pp. 31-102.
    I discuss Mary Hess’s interaction-view of scientific metaphor, outline an alternative view and show how it may prove fruitful when applied to chapters of the history of science. I start with a reconstruction of the discussion on the nature of scientific models and on their relationship to metaphors that has taken place in the Anglo-Saxon philosophy of Science starting from the Fifties; the discovery started with Stephen Pepper and Kenneth Burke, reaching Thomas Kuhn, Marx Wartofsky, and George Lakoff via Max (...)
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  5. added 2020-04-30
    Is Truth the Gold Standard of Inquiry? A Comment on Elgin’s Argument Against Veritism.Moti Mizrahi - forthcoming - Foundations of Science:1-6.
    In True Enough, Catherine Elgin (2017) argues against veritism, which is the view that truth is the paramount epistemic objective. Elgin’s argument against veritism proceeds from considering the role that models, idealizations, and thought experiments play in science to the conclusion that veritism is unacceptable. In this commentary, I argue that Elgin’s argument fails as an argument against veritism. I sketch a refutation by logical analogy of Elgin’s argument. Just as one can aim at gold medals and still find approximations (...)
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  6. added 2020-03-27
    Perspectives, Questions, and Epistemic Value.Kareem Khalifa & Jared A. Millson - 2020 - In Michela Massimi & Ana-Maria Cretu (eds.), Knowledge From a Human Point of View. Cham: Springer Verlag. pp. 87-106.
    Many epistemologists endorse true-belief monism, the thesis that only true beliefs are of fundamental epistemic value. However, this view faces formidable counterexamples. In response to these challenges, we alter the letter, but not the spirit, of true-belief monism. We dub the resulting view “inquisitive truth monism”, which holds that only true answers to relevant questions are of fundamental epistemic value. Which questions are relevant is a function of an inquirer’s perspective, which is characterized by his/her interests, social role, and background (...)
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  7. added 2020-02-06
    Idealization and Many Aims.Angela Potochnik - forthcoming - Philosophy of Science.
    In this paper, I first outline the view developed in my recent book on the role of idealization in scientifi c understanding. I discuss how this view leads to the recognition of a number of kinds of variability among scientifi c representations, including variability introduced by the many different aims of scienti fic projects. I then argue that the role of idealization in securing understanding distances understanding from truth, but that this understanding nonetheless gives rise to scienti fic knowledge. This (...)
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  8. added 2020-01-20
    Algorithmic Fairness From a Non-Ideal Perspective.Sina Fazelpour & Zachary C. Lipton - manuscript
    Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered a (...)
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  9. added 2020-01-13
    Unifying the Essential Concepts of Biological Networks: Biological Insights and Philosophical Foundations.Daniel Kostic, Claus Hilgetag & Marc Tittgemeyer - forthcoming - Philosophical Transactions of the Royal Society B: Biological Sciences.
    Over the last decades, network-based approaches have become highly popular in diverse fields of biology, including neuroscience, ecology, molecular biology and genetics. While these approaches continue to grow very rapidly, some of their conceptual and methodological aspects still require a programmatic foundation. This challenge particularly concerns the question of whether a generalized account of explanatory, organisational and descriptive levels of networks can be applied universally across biological sciences. To this end, this highly interdisciplinary theme issue focuses on the definition, motivation (...)
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  10. added 2020-01-13
    Idealisation in Natural Language Semantics: Truth-Conditions for Radical Contextualists.Gabe Dupre - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    In this paper, I shall provide a novel response to the argument from context-sensitivity against truth-conditional semantics. It is often argued that the contextual influences on truth-conditions outstrip the resources of standard truth-conditional accounts, and so truth-conditional semantics rests on a mistake. The argument assumes that truth-conditional semantics is legitimate if and only if natural language sentences have truth-conditions. I shall argue that this assumption is mistaken. Truth-conditional analyses should be viewed as idealised approximations of the complexities of natural language (...)
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  11. added 2019-12-04
    Scientific Understanding and Felicitous Legitimate Falsehoods.Insa Lawler - forthcoming - Synthese:1-29.
    Science is replete with falsehoods that epistemically facilitate understanding by virtue of being the very falsehoods they are. In view of this puzzling fact, some have relaxed the truth requirement on understanding. I offer a factive view of understanding that fully accommodates the puzzling fact in four steps: (i) I argue that the question how these falsehoods are related to the phenomenon to be understood and the question how they figure into the content of understanding it are independent. (ii) I (...)
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  12. added 2019-11-15
    Infinite Lies and Explanatory Ties: Idealization in Phase Transitions.Sam Baron - 2019 - Synthese 196 (5):1939-1961.
    Infinite idealizations appear in our best scientific explanations of phase transitions. This is thought by some to be paradoxical. In this paper I connect the existing literature on the phase transition paradox to work on the concept of indispensability, which arises in discussions of realism and anti-realism within the philosophy of science and the philosophy of mathematics. I formulate a version of the phase transition paradox based on the idea that infinite idealizations are explanatorily indispensable to our best science, and (...)
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  13. added 2019-10-09
    Review of Angela Potochnik, “Idealization and the Aims of Science.”. [REVIEW]Nicholas Danne - 2018 - Meta 10 (1):240-245.
    Lacks discussion of mathematics, the ne plus ultra of idealizations. Otherwise interesting.
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  14. added 2019-09-10
    Countable Additivity, Idealization, and Conceptual Realism.Yang Liu - 2020 - Economics and Philosophy 36 (1):127-147.
    This paper addresses the issue of finite versus countable additivity in Bayesian probability and decision theory -- in particular, Savage's theory of subjective expected utility and personal probability. I show that Savage's reason for not requiring countable additivity in his theory is inconclusive. The assessment leads to an analysis of various highly idealised assumptions commonly adopted in Bayesian theory, where I argue that a healthy dose of, what I call, conceptual realism is often helpful in understanding the interpretational value of (...)
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  15. added 2019-09-10
    Two Tales of Epistemic Models.Yang Liu - 2019 - Thought: A Journal of Philosophy 8 (4):291-302.
    This short paper has two parts. First, we prove a generalisation of Aumann's surprising impossibility result in the context of rational decision making. We then move, in the second part, to discuss the interpretational meaning of some formal setups of epistemic models, and we do so by means of presenting an interesting puzzle in epistemic logic. The aim is to highlight certain problematic aspects of these epistemic systems concerning first/third-person asymmetry which underlies both parts of the story. This asymmetry, we (...)
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  16. added 2019-09-09
    Alain Badiou : un philosophe face au concept de modèle.Franck Varenne - 2008 - Natures Sciences Sociétés 16 (3):252-257.
    In 1969, the influent French philosopher Alain Badiou published a book called "The concept of Model: An Introduction to the Materialist Epistemology of Mathematics". A recent reprint gives the opportunity to trace back and analyze its main arguments. This paper essentially aims to present and explain Badiou's arguments against the representationalist vision of models in empirical sciences and for a materialist interpretation of formal systems coupled with semantic models in mathematics. Now that the practices of scientific modeling and simulation have (...)
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  17. added 2019-09-08
    Remarks on Scientific Metaphors.Sergio Volodia Marcello Cremaschi - 1988 - In Maria Luisa Dalla Chiara & Maria Clara Galavotti (eds.), Temi e prospettive della Logica e Filosofia della Scienza. Volume 2. Bologna, Italy: CLUEB. pp. 114-116.
    Recent contributions by Kuhn, Wartofsky, and Granger, converge in the direction of an extended view of models, one that acknowledges a metaphorical dimension in the language of science. Such a view is in some respects the opposite of the views of both Bachelard and the Logical Empiricists. A number of familiar puzzles of the philosophy of science, such as the problem of reference, the opposition of realism and instrumentalism, that between explanation and understanding, and the status of scientific objectivity, may (...)
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  18. added 2019-09-01
    Veritism Refuted? Understanding, Idealizations, and the Facts.Tamer Nawar - forthcoming - Synthese:1-19.
    Elgin offers an influential and far-reaching challenge to veritism. She takes scientific understanding to be non-factive and maintains that there are epistemically useful falsehoods that figure ineliminably in scientific understanding and whose falsehood is no epistemic defect. Veritism, she argues, cannot account for these facts. This paper argues that while Elgin rightly draws attention to several features of epistemic practices frequently neglected by veritists, veritists have numerous plausible ways of responding to her arguments. In particular, it is not clear that (...)
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  19. added 2019-07-06
    Causal Inference From Noise.Nevin Climenhaga, Lane DesAutels & Grant Ramsey - forthcoming - Noûs.
    "Correlation is not causation" is one of the mantras of the sciences—a cautionary warning especially to fields like epidemiology and pharmacology where the seduction of compelling correlations naturally leads to causal hypotheses. The standard view from the epistemology of causation is that to tell whether one correlated variable is causing the other, one needs to intervene on the system—the best sort of intervention being a trial that is both randomized and controlled. In this paper, we argue that some purely correlational (...)
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  20. added 2019-06-06
    Idealization, Abduction, and Progressive Scientific Change.Xavier de Donato Rodríguez - 2007 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 22 (3):331-338.
    After a brief comparison of Aliseda’s account with different approaches to abductive reasoning, I relate abduction, as studied by Aliseda, to idealization, a notion which also occupies a very important role in scientific change, as well as to different ways of dealing with the growth of scientific knowledge understood as a particular kind of non-monotonic process. A particularly interesting kind of abductive reasoning could be that of finding an appropriate concretization case for a theory, originally revealed as extraordinarily success-ful but (...)
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  21. added 2019-04-23
    Epistemic Norms: Truth Conducive Enough.Lisa Warenski - 2019 - Synthese:1-21.
    Epistemology needs to account for the success of science. In True Enough (2017), Catherine Elgin argues that a veritist epistemology is inadequate to this task. She advocates shifting epistemology’s focus away from true belief and toward understanding, and further, jettisoning truth from its privileged place in epistemological theorizing. Pace Elgin, I argue that epistemology’s accommodation of science does not require rejecting truth as the central epistemic value. Instead, it requires understanding veritism in an ecumenical way that acknowledges a rich array (...)
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  22. added 2019-04-01
    Review of True Enough, by Catherine Z. Elgin.John Bengson - forthcoming - Mind:fzz003.
    Review of True Enough, by Catherine Elgin. Reconstructs three pillars of Elgin's view (focused on truth enough, understanding, and holism); summarizes the book's main arguments against veritism and factivism; presents a general recipe for responding to those arguments; raises several objections to the view.
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  23. added 2019-03-31
    The Epistemic Virtue of Robustness in Climate Modeling (MA Dissertation).Parjanya Joshi - 2019 - Dissertation, Tata Institute of Social Sciences
    The aim of this dissertation is to comprehensively study various robustness arguments proposed in the literature from Levins to Lloyd as well as the opposition offered to them and pose enquiry into the degree of epistemic virtue that they provide to the model prediction results with respect to climate science and modeling. Another critical issue that this dissertation strives to examine is that of the actual epistemic notion that is operational when scientists and philosophers appeal to robustness. In attempting to (...)
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  24. added 2019-03-04
    Against Harmony: Infinite Idealizations and Causal Explanation.Iulian D. Toader - 2015 - In Romanian Studies in Philosophy of Science. Boston Studies in the Philosophy and History of Science, vol. 313,. pp. 291-301.
    This paper argues against the view that the standard explanation of phase transitions in statistical mechanics may be considered a causal explanation, a distortion that can nevertheless successfully represent causal relations.
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  25. added 2018-11-20
    From Paradigm-Based Explanation to Pragmatic Genealogy.Matthieu Queloz - forthcoming - Mind:fzy083.
    Why would philosophers interested in the points or functions of our conceptual practices bother with genealogical explanations if they can focus directly on paradigmatic examples of the practices we now have? To answer this question, I compare the method of pragmatic genealogy advocated by Edward Craig, Bernard Williams, and Miranda Fricker—a method whose singular combination of fictionalising and historicising has met with suspicion—with the simpler method of paradigm-based explanation. Fricker herself has recently moved towards paradigm-based explanation, arguing that it is (...)
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  26. added 2018-11-12
    Idealizations and Understanding: Much Ado About Nothing?Emily Sullivan & Kareem Khalifa - 2019 - Australasian Journal of Philosophy 97 (4):673-689.
    Because idealizations frequently advance scientific understanding, many claim that falsehoods play an epistemic role. In this paper, we argue that these positions greatly overstate idealiza...
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  27. added 2018-10-31
    Explanation by Idealized Theories.Ilkka Niiniluoto - 2018 - Kairos 20 (1):43-63.
    The use of idealized scientific theories in explanations of empirical facts and regularities is problematic in two ways: they don’t satisfy the condition that the explanans is true, and they may fail to entail the explanandum. An attempt to deal with the latter problem was proposed by Hempel and Popper with their notion of approximate explanation. A more systematic perspective on idealized explanations was developed with the method of idealization and concretization by the Poznan school in the 1970s. If idealizational (...)
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  28. added 2018-10-25
    The Exploratory Role of Idealizations and Limiting Cases in Models.Elay Shech & Axel Gelfert - forthcoming - Studia Metodologiczne.
    In this article we argue that idealizations and limiting cases in models play an exploratory role in science. Four senses of exploration are presented: exploration of the structure and representational capacities of theory; proof-of-principle demonstrations; potential explanations; and exploring the suitability of target systems. We illustrate our claims through three case studies, including the Aharonov-Bohm effect, the emergence of anyons and fractional quantum statistics, and the Hubbard model of the Mott phase transitions. We end by reflecting on how our case (...)
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  29. added 2018-10-25
    Infinitesimal Idealization, Easy Road Nominalism, and Fractional Quantum Statistics.Elay Shech - 2019 - Synthese 196 (5):1963-1990.
    It has been recently debated whether there exists a so-called “easy road” to nominalism. In this essay, I attempt to fill a lacuna in the debate by making a connection with the literature on infinite and infinitesimal idealization in science through an example from mathematical physics that has been largely ignored by philosophers. Specifically, by appealing to John Norton’s distinction between idealization and approximation, I argue that the phenomena of fractional quantum statistics bears negatively on Mary Leng’s proposed path to (...)
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  30. added 2018-10-25
    Teaching and Learning Guide For: Infinite Idealizations in Physics.Elay Shech - 2018 - Philosophy Compass 13 (9):e12519.
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  31. added 2018-10-25
    Infinite Idealizations in Physics.Elay Shech - 2018 - Philosophy Compass 13 (9):e12514.
    In this essay, I provide an overview of the debate on infinite and essential idealizations in physics. I will first present two ostensible examples: phase transitions and the Aharonov– Bohm effect. Then, I will describe the literature on the topic as a debate between two positions: Essentialists claim that idealizations are essential or indispensable for scientific accounts of certain physical phenomena, while dispensabilists maintain that idealizations are dispensable from mature scientific theory. I will also identify some attempts at finding a (...)
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  32. added 2018-10-25
    Idealizations, Essential Self-Adjointness, and Minimal Model Explanation in the Aharonov–Bohm Effect.Shech Elay - 2017 - Synthese 195 (11):4839-4863.
    Two approaches to understanding the idealizations that arise in the Aharonov–Bohm effect are presented. It is argued that a common topological approach, which takes the non-simply connected electron configuration space to be an essential element in the explanation and understanding of the effect, is flawed. An alternative approach is outlined. Consequently, it is shown that the existence and uniqueness of self-adjoint extensions of symmetric operators in quantum mechanics have important implications for philosophical issues. Also, the alleged indispensable explanatory role of (...)
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  33. added 2018-10-25
    Fiction, Depiction, and the Complementarity Thesis in Art and Science.Elay Shech - 2016 - The Monist 99 (3):311-332.
    In this paper, I appeal to a distinction made by David Lewis between identifying and determining semantic content in order to defend a complementarity thesis expressed by Anjan Chakravartty. The thesis states that there is no conflict between informational and functional views of scientific modeling and representation. I then apply the complementarity thesis to well-received theories of pictorial representation, thereby stressing the fruitfulness of drawing an analogy between the nature of fictions in art and in science. I end by attending (...)
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  34. added 2018-10-25
    Two Approaches to Fractional Statistics in the Quantum Hall Effect: Idealizations and the Curious Case of the Anyon.Elay Shech - 2015 - Foundations of Physics 45 (9):1063-1100.
    This paper looks at the nature of idealizations and representational structures appealed to in the context of the fractional quantum Hall effect, specifically, with respect to the emergence of anyons and fractional statistics. Drawing on an analogy with the Aharonov–Bohm effect, it is suggested that the standard approach to the effects— the topological approach to fractional statistics—relies essentially on problematic idealizations that need to be revised in order for the theory to be explanatory. An alternative geometric approach is outlined and (...)
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  35. added 2018-10-25
    Scientific Misrepresentation and Guides to Ontology: The Need for Representational Code and Contents.Elay Shech - 2015 - Synthese 192 (11):3463-3485.
    In this paper I show how certain requirements must be set on any tenable account of scientific representation, such as the requirement allowing for misrepresentation. I then continue to argue that two leading accounts of scientific representation— the inferential account and the interpretational account—are flawed for they do not satisfy such requirements. Through such criticism, and drawing on an analogy from non-scientific representation, I also sketch the outline of a superior account. In particular, I propose to take epistemic representations to (...)
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  36. added 2018-10-25
    What Is the Paradox of Phase Transitions?Elay Shech - 2013 - Philosophy of Science 80 (5):1170-1181.
    I present a novel approach to the scholarly debate that has arisen with respect to the philosophical import one should infer from scientific accounts of phase transitions by appealing to a distinction between representation understood as denotation, and faithful representation understood as a type of guide to ontology. It is argued that the entire debate is misguided, for it stems from a pseudo-paradox that does not license the type of claims made by scholars and that what is really interesting about (...)
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  37. added 2018-09-13
    Genealogy and Knowledge-First Epistemology: A Mismatch?Matthieu Queloz - 2019 - Philosophical Quarterly 69 (274):100-120.
    This paper examines three reasons to think that Craig's genealogy of the concept of knowledge is incompatible with knowledge-first epistemology and finds that far from being incompatible with it, the genealogy lends succour to it. This reconciliation turns on two ideas. First, the genealogy is not history, but a dynamic model of needs. Secondly, by recognizing the continuity of Craig's genealogy with Williams's genealogy of truthfulness, we can see that while both genealogies start out from specific needs explaining what drives (...)
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  38. added 2018-09-09
    Minimal Approximations and Norton’s Dome.Samuel Fletcher - 2019 - Synthese 196 (5):1749-1760.
    In this note, I apply Norton’s (Philos Sci 79(2):207–232, 2012) distinction between idealizations and approximations to argue that the epistemic and inferential advantages often taken to accrue to minimal models (Batterman in Br J Philos Sci 53:21–38, 2002) could apply equally to approximations, including “infinite” ones for which there is no consistent model. This shows that the strategy of capturing essential features through minimality extends beyond models, even though the techniques for justifying this extended strategy remain similar. As an application (...)
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  39. added 2018-02-16
    Nancy Cartwright’s Philosophy of Science.Stephan Hartmann, Luc Bovens & Carl Hoefer - 2008 - Routledge.
    Nancy Cartwright is one of the most distinguished and influential contemporary philosophers of science. Despite the profound impact of her work, there is neither a systematic exposition of Cartwright’s philosophy of science nor a collection of articles that contains in-depth discussions of the major themes of her philosophy. This book is devoted to a critical assessment of Cartwright’s philosophy of science and contains contributions from Cartwright's champions and critics. Broken into three parts, the book begins by addressing Cartwright's views on (...)
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  40. added 2018-02-02
    Idealization, Counterfactuals, and Truthlikeness.Ilkka Niiniluoto - 2007 - In Jerzy Brzeziński, Andrzej Klawiter, Theo A. F. Kuipers, Krzysztof Łastowski, Katarzyna Paprzycka & Piotr Przybysz (eds.), The Courage of Doing Philosophy: Essays Dedicated to Leszek Nowak. Rodopi. pp. 103--122.
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  41. added 2018-01-06
    Scientific Representation: A Bibliography.Mauricio Suárez - unknown
    Scientific representation is a booming field nowadays within the philosophy of science, with many papers published regularly on the topic every year, and several yearly conferences and workshops held on related topics. Historically, the topic originates in two different strands in 20th-century philosophy of science. One strand begins in the 1950s, with philosophical interest in the nature of scientific theories. As the received or “syntactic” view gave way to a “semantic” or “structural” conception, representation progressively gained the center stage. Yet, (...)
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  42. added 2017-12-12
    Idealized and Perspectival Representations: Some Reasons for Making a Distinction.Alexander Rueger - 2014 - Synthese 191 (8):1831-1845.
    I argue that an adequate understanding of the practice of constructing models in physics requires a distinction between two strategies that are commonly both labeled ‘idealization’. The formal characteristic of both methods is to let a parameter in the equations for a target system go to zero. But the discussion of examples from various applications of perturbation theory shows that there is in general a difference with respect to the aims such limiting procedures are supposed to serve; and with different (...)
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  43. added 2017-12-12
    Approximate Truth, Idealization, and Ontology.Robert John Schwartz - 1990 - Southern Journal of Philosophy 28 (3):409-425.
  44. added 2017-12-06
    Using Scott Domains to Explicate the Notions of Approximate and Idealized Data.Ronald Laymon - 1987 - Philosophy of Science 54 (2):194-221.
    This paper utilizes Scott domains (continuous lattices) to provide a mathematical model for the use of idealized and approximately true data in the testing of scientific theories. Key episodes from the history of science can be understood in terms of this model as attempts to demonstrate that theories are monotonic, that is, yield better predictions when fed better or more realistic data. However, as we show, monotonicity and truth of theories are independent notions. A formal description is given of the (...)
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  45. added 2017-12-02
    Idealization is Simplification, Not Representation.Colin Klein - unknown
    The problem with idealization is not just that, when idealizing, scientists ask us to suppose false things. Many people do that. No, the puzzling thing about idealizers—unlike astrologers, spodomancers, and homeopaths—is that it is worth listening to them. Supposing that populations of rabbits are in- finite is useful for a variety of ecological explanations. Yet we are not up to our necks in rabbits; the puzzle is why it should be useful to suppose that we are.
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  46. added 2017-12-02
    Physical Interpretation: Eddington, Idealization and the Origin of Stellar Structure Theory.Ralph Carl Kenat - 1987 - Dissertation, University of Maryland, College Park
    This dissertation deals with several aspects of the physical interpretation of theories: the use of idealizations in scientific theorizing, the use of theories as conceptual devices and the problem of scientific realism. These issues are considered in the light of the semantic conception of theories and a case history. The case history concerns the development of models of stellar stucture from the earliest models to the "standard model" of Arthur Eddington. ;The semantic conception of theories makes it possible to give (...)
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  47. added 2017-11-28
    The Truth of False Idealizations in Modeling.Paul Humphreys - unknown
    Modeling involves the use of false idealizations, yet there is typically a belief or hope that modeling somehow manages to deliver true information about the world. The paper discusses one possible way of reconciling truth and falsehood in modeling. The key trick is to relocate truth claims by reinterpreting an apparently false idealizing assumption in order to make clear what possibly true assertion is intended when using it. These include interpretations in terms of negligibility, applicability, tractability, early-step, and more. Elaborations (...)
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  48. added 2017-11-08
    Idealization Iii: Approximation and Truth.Jerzy Brzezinski & Leszek Nowak - 1992 - Rodopi.
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  49. added 2017-09-03
    Leszek Nowak.Krzysztof Brzechczyn - 2009 - Polish Journal of Philosophy 3 (2):7-8.
  50. added 2017-07-14
    Idealization and the Aims of Science.Angela Potochnik - 2017 - Chicago: University of Chicago Press.
    Science is the study of our world, as it is in its messy reality. Nonetheless, science requires idealization to function—if we are to attempt to understand the world, we have to find ways to reduce its complexity. Idealization and the Aims of Science shows just how crucial idealization is to science and why it matters. Beginning with the acknowledgment of our status as limited human agents trying to make sense of an exceedingly complex world, Angela Potochnik moves on to explain (...)
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