View topic on PhilPapers for more information
Related categories

63 found
Order:
More results on PhilPapers
1 — 50 / 63
  1. The Literalist Fallacy & the Free Energy Principle: Model Building, Scientific Realism and Instrumentalism.Michael David Kirchhoff, Julian Kiverstein & Ian Robertson - manuscript
    Disagreement about how best to think of the relation between theories and the realities they represent has a longstanding and venerable history. We take up this debate in relation to the free energy principle (FEP) - a contemporary framework in computational neuroscience, theoretical biology and the philosophy of cognitive science. The FEP is very ambitious, extending from the brain sciences to the biology of self-organisation. In this context, some find apparent discrepancies between the map (the FEP) and the territory (target (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   1 citation  
  2. Model Anarchism.Walter Veit - 2020
    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.
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   8 citations  
  3. Idealization and Structural Explanation in Physics.Martin King - 2014
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  4. Symbols Versus Models.Chuang Liu - 2013
    In this paper I argue against a deflationist view that as representational vehicles symbols and models do their jobs in essentially the same way. I argue that symbols are conventional vehicles whose chief function is denotation while models are epistemic vehicles whose chief function is showing what their targets are like in the relevant aspects. It is further pointed out that models usually do not rely on similarity or some such relations to relate to their targets. For that referential relation (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  5. The Comparison Problem for Approximating Epistemic Ideals.Marc-Kevin Daoust - forthcoming - Ratio.
    Some epistemologists think that the Bayesian ideals matter because we can approximate them. That is, our attitudes can be more or less close to the ones of our ideal Bayesian counterpart. In this paper, I raise a worry for this justification of epistemic ideals. The worry is this: In order to correctly compare agents to their ideal counterparts, we need to imagine idealized agents who have the same relevant information, knowledge, or evidence. However, there are cases in which one’s ideal (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  6. 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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  7. A Dilemma for Solomonoff Prediction.Sven Neth - forthcoming - Philosophy of Science.
    The framework of Solomonoff prediction assigns prior probability to hypotheses inversely proportional to their Kolmogorov complexity. There are two well-known problems. First, the Solomonoff prior is relative to a choice of Universal Turing machine. Second, the Solomonoff prior is not computable. However, there are responses to both problems. Different Solomonoff priors converge with more and more data. Further, there are computable approximations to the Solomonoff prior. I argue that there is a tension between these two responses. This is because computable (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  8. Different Ways to Be a Realist: A Response to Pincock.Angela Potochnik - forthcoming - In Kareem Khalifa, Insa Lawler & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences.
    In his chapter in this volume, Christopher Pincock develops an argument for scientific realism based on scientific understanding, and he argues that Giere’s (2006) and my (2017, 2020) commitment to the context-dependence of scientific understanding or knowledge renders our views unable to account for an essential step in how scientists come to know. Meanwhile, in my chapter in this volume, I motivate a view that I call "causal pattern realism." In this response to Pincock's chapter, I will sketch a revised (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  9. Truth and Reality: How to Be a Scientific Realist Without Believing Scientific Theories Should Be True.Angela Potochnik - forthcoming - In Kareem Khalifa, Insa Lawler & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences.
    Scientific realism is a thesis about the success of science. Most traditionally: science has been so successful at prediction and guiding action because its best theories are true (or approximately true or increasing in their degree of truth). If science is in the business of doing its best to generate true theories, then we should turn to those theories for explanatory knowledge, predictions, and guidance of our actions and decisions. Views that are popular in contemporary philosophy of science about scientific (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  10. The Truth About Better Understanding?Lewis Ross - forthcoming - Erkenntnis:1-24.
    The notion of understanding occupies an increasingly prominent place in contemporary epistemology, philosophy of science, and moral theory. A central and ongoing debate about the nature of understanding is how it relates to the truth. In a series of influential contributions, Catherine Elgin has used a variety of familiar motivations for antirealism in philosophy of science to defend a non- factive theory of understanding. Key to her position are: (i) the fact that false theories can contribute to the upwards trajectory (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  11. Maps and Models.Rasmus Grønfeldt Winther - forthcoming - In Routledge Handbook of Philosophy of Scientific Modeling. London, UK:
    Maps and mapping raise questions about models and modeling and in science. This chapter archives map discourse in the founding generation of philosophers of science (e.g., Rudolf Carnap, Nelson Goodman, Thomas Kuhn, and Stephen Toulmin) and in the subsequent generation (e.g., Philip Kitcher, Helen Longino, and Bas van Fraassen). In focusing on these two original framing generations of philosophy of science, I intend to remove us from the heat of contemporary discussions of abstraction, representation, and practice of science and thereby (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  12. Trueing.Holly Andersen - 2023 - In The Pragmatist Challenge: Pragmatist Metaphysics for Philosophy of Science. Oxford University Press.
    Even in areas of philosophy of science that don’t involve formal treatments of truth, one’s background view of truth still centrally shapes views on other issues. I offer an informal way to think about truth as trueing, like trueing a bicycle wheel. This holist approach to truth provides a way to discuss knowledge products like models in terms of how well-trued they are to their target. Trueing emphasizes: the process by which models are brought into true; how the idealizations in (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  13. New Developments in the Theory of the Historical Process: Polish Contributions to Non-Marxian Historical Materialism.Krzysztof Brzechczyn (ed.) - 2022 - Leiden/Boston: Brill.
    The first part of this book contains a selection of Leszek Nowak’s (1943-2009) works on non-Marxian historical materialism, which are published here in English for the first time. In these papers, Nowak constructs a dynamic model of religious community, reconstructs historiosophical assumptions of liberalism and considers the methodological status of prognosis of totalitarization of capitalist society. In the second part of the book, new contributions to non-Marxian historical materialism are presented. Their authors analyze mechanisms of the oligarchization of liberal democracy, (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  14. Teleosemantics and the free energy principle.Stephen Francis Mann & Ross Pain - 2022 - Biology and Philosophy 37 (4):1-25.
    The free energy principle is notoriously difficult to understand. In this paper, we relate the principle to a framework that philosophers of biology are familiar with: Ruth Millikan’s teleosemantics. We argue that: systems that minimise free energy are systems with a proper function; and Karl Friston’s notion of implicit modelling can be understood in terms of Millikan’s notion of mapping relations. Our analysis reveals some surprising formal similarities between the two frameworks, and suggests interesting lines of future research. We hope (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   1 citation  
  15. Causal Inference From Noise.Nevin Climenhaga, Lane DesAutels & Grant Ramsey - 2021 - Noûs 55 (1):152-170.
    "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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   2 citations  
  16. G as Bridge Model.Devin Sanchez Curry - 2021 - Philosophy of Science 88 (5):1067-1078.
    Psychometric g—a statistical factor capturing intercorrelations between scores on different IQ tests—is of theoretical interest despite being a low-fidelity model of both folk psychological intelligence and its cognitive/neural underpinnings. Psychometric g idealizes away from those aspects of cognitive/neural mechanisms that are not explanatory of the relevant variety of folk psychological intelligence, and it idealizes away from those varieties of folk psychological intelligence that are not generated by the relevant cognitive/neural substrate. In this manner, g constitutes a high-fidelity bridge model of (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  17. Adversariality and Ideal Argumentation: A Second-Best Perspective.Marc-Kevin Daoust - 2021 - Topoi 40 (5):887-898.
    What is the relevance of ideals for determining virtuous argumentative practices? According to Bailin and Battersby (2016), the telos of argumentation is to improve our cognitive systems, and adversariality plays no role in ideally virtuous argumentation. Stevens and Cohen (2019) grant that ideal argumentation is collaborative, but stress that imperfect agents like us should not aim at approximating the ideal of argumentation. Accordingly, it can be virtuous, for imperfect arguers like us, to act as adversaries. Many questions are left unanswered (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  18. Classical Form or Modern Scientific Rationalization? Nietzsche on the Drive to Ordered Thought as Apollonian Power and Socratic Pathology.Eli I. Lichtenstein - 2021 - Journal of Nietzsche Studies 52 (1):105-134.
    Nietzsche sometimes praises the drive to order—to simplify, organize, and draw clear boundaries—as expressive of a vital "classical" style, or an Apollonian artistic drive to calmly contemplate forms displaying "epic definiteness and clarity." But he also sometimes harshly criticizes order, as in the pathological dialectics or "logical schematism" that he associates paradigmatically with Socrates. I challenge a tradition that interprets Socratism as an especially one-sided expression of, or restricted form of attention to, the Apollonian: they are more radically disparate. Beyond (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   1 citation  
  19. Is Truth the Gold Standard of Inquiry? A Comment on Elgin’s Argument Against Veritism.Moti Mizrahi - 2021 - Foundations of Science 26 (2):275-280.
    In True enough,, Elgin 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 to gold, (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  20. Veritism Refuted? Understanding, Idealization, and the Facts.Tamer Nawar - 2021 - Synthese 198 (5):4295-4313.
    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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   6 citations  
  21. Inconsistent Idealizations and Inferentialism About Scientific Representation.Peter Tan - 2021 - Studies in History and Philosophy of Science Part A 89:11-18.
    Inferentialists about scientific representation hold that an apparatus’s representing a target system consists in the apparatus allowing “surrogative inferences” about the target. I argue that a serious problem for inferentialism arises from the fact that many scientific theories and models contain internal inconsistencies. Inferentialism, left unamended, implies that inconsistent scientific models have unlimited representational power, since an inconsistency permits any conclusion to be inferred. I consider a number of ways that inferentialists can respond to this challenge before suggesting my own (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   1 citation  
  22. The Epistemic Duties of Philosophers: An Addendum.Philippe van Basshuysen & Lucie White - 2021 - Kennedy Institute of Ethics Journal 31 (4):447-451.
    We were slightly concerned, upon having read Eric Winsberg, Jason Brennan and Chris Surprenant’s reply to our paper “Were Lockdowns Justified? A Return to the Facts and Evidence”, that they may have fundamentally misunderstood the nature of our argument, so we issue the following clarification, along with a comment on our motivations for writing such a piece, for the interested reader.
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  23. Multiple-Models Juxtaposition and Trade-Offs Among Modeling Desiderata.Yoshinari Yoshida - 2021 - Philosophy of Science 88 (1):103-123.
    This article offers a characterization of what I call multiple-models juxtaposition, a strategy for managing trade-offs among modeling desiderata. MMJ displays models of distinct phenomena to...
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  24. The Historical Distinctiveness of Central Europe: A Study in the Philosophy of History.Krzysztof Brzechczyn - 2020 - Bern: Peter Lang.
    The aim of this book is to explain economic dualism in the history of modern Europe. The emergence of the manorial-serf economy in the Bohemia, Poland, and Hungary in the 16th and the 17th centuries was the result of a cumulative impact of various circumstantial factors. The weakness of cities in Central Europe disturbed the social balance – so characteristic for Western-European societies – between burghers and the nobility. The political dominance of the nobility hampered the development of cities and (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   2 citations  
  25. Algorithmic Fairness From a Non-Ideal Perspective.Sina Fazelpour & Zachary C. Lipton - 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
    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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   8 citations  
  26. Democracy of Incomplete Victories: State, Civil Society, and the Scientific Method.Juozas Kasputis - 2020 - In Fourth European Blue Sky Conference: Faultlines and frontlines of European transformation. Koszeg (Hungary): pp. 47-60.
    Fukuyama's 'The End of History' has referred to Kojeve's 'homogenous state' as some sort of conceptual container for the evolving idea of liberal democracy. This paper critically re-assess the homogeneity of state as final stage of liberal idea and defends civil society in terms of democratic governance. It also invites to discuss the role of scholars as public intellectuals and repels the ideological abuse of the scientific method.
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  27. Perspectives, Questions, and Epistemic Value.Kareem Khalifa & Jared 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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   3 citations  
  28. 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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  29. Idealization and Many Aims.Angela Potochnik - 2020 - Philosophy of Science 87 (5):933-943.
    In this paper, I first outline the view developed in my recent book on the role of idealization in scientific understanding. I discuss how this view leads to the recognition of a number of kinds of variability among scientific representations, including variability introduced by the many different aims of scientific projects. I then argue that the role of idealization in securing understanding distances understanding from truth, but that this understanding nonetheless gives rise to scientific knowledge. This discussion will clarify how (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   7 citations  
  30. From Paradigm-Based Explanation to Pragmatic Genealogy.Matthieu Queloz - 2020 - Mind 129 (515):683-714.
    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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   11 citations  
  31. As If: Idealization and Ideals, by Kwame Anthony Appiah.Adam Toon - 2020 - Mind 129 (513):275-283.
    As If: Idealization and Ideals, by AppiahKwame Anthony. Cambridge, MA: Harvard University Press, 2017. Pp. xvi + 218.
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  32. Mechanist Idealisation in Systems Biology.Dingmar van Eck & Cory Wright - 2020 - Synthese 199 (1-2):1555-1575.
    This paper adds to the philosophical literature on mechanistic explanation by elaborating two related explanatory functions of idealisation in mechanistic models. The first function involves explaining the presence of structural/organizational features of mechanisms by reference to their role as difference-makers for performance requirements. The second involves tracking counterfactual dependency relations between features of mechanisms and features of mechanistic explanandum phenomena. To make these functions salient, we relate our discussion to an exemplar from systems biological research on the mechanism for countering (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  33. Near-Decomposability and the Timescale Relativity of Causal Representations.Naftali Weinberger - 2020 - Philosophy of Science 87 (5):841-856.
    A common strategy for simplifying complex systems involves partitioning them into subsystems whose behaviors are roughly independent of one another at shorter timescales. Dynamic causal models clarify how doing so reveals a system’s nonequilibrium causal relationships. Here I use these models to elucidate the idealizations and abstractions involved in representing a system at a timescale. The models reveal that key features of causal representations—such as which variables are exogenous—may vary with the timescale at which a system is considered. This has (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   3 citations  
  34. 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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  35. 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 argue, (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  36. 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 (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   5 citations  
  37. Review of Angela Potochnik, “Idealization and the Aims of Science.”. [REVIEW]Nicholas Danne - 2018 - Meta: Research in Hermeneutics, Phenomenology, and Practical Philosophy 10 (1):240-245.
    Lacks discussion of mathematics, the ne plus ultra of idealizations. Otherwise interesting.
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  38. From Interpretation to Refutation of Marxism. On Leszek Nowak's Non-Marxian Historical Materialism.Brzechczyn Krzysztof - 2017 - Hybris. Internetowy Magazyn Filozoficzny 37:141-178.
    The aim of this article is to outline the theory of a historical process developed within the framework of the Poznań School of Methodology, mainly by Leszek Nowak and a team of his co-workers. In the first part of the paper, the meta-philosophical and meta-theoretical assumptions of Poznań school are reconstructed and juxtaposed with the relevant assumptions of Western analytical Marxism. In the central part of the paper, the main ideas of adaptive reconstruction of historical materialism and non-Marxian historical materialism (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  39. Mathematization in Synthetic Biology: Analogies, Templates, and Fictions.Andrea Loettgers & Tarja Knuuttila - 2017 - In Martin Carrier & Johannes Lenhard (eds.), Mathematics as a Tool. Tracing New Roles of Mathematics in the Sciences. Springer Verlag.
    In his famous article “The Unreasonable Effectiveness of Mathematics in the Natural Sciences” Eugen Wigner argues for a unique tie between mathematics and physics, invoking even religious language: “The miracle of the appropriateness of the language of mathematics for the formulation of the laws of physics is a wonderful gift which we neither understand nor deserve”. The possible existence of such a unique match between mathematics and physics has been extensively discussed by philosophers and historians of mathematics. Whatever the merits (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   2 citations  
  40. Knowledge of Abstract Objects in Physics and Mathematics.Michael J. Shaffer - 2017 - Acta Analytica 32 (4):397-409.
    In this paper a parallel is drawn between the problem of epistemic access to abstract objects in mathematics and the problem of epistemic access to idealized systems in the physical sciences. On this basis it is argued that some recent and more traditional approaches to solving these problems are problematic.
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   1 citation  
  41. On Structural Accounts of Model-Explanations.Martin King - 2016 - Synthese 193 (9):2761-2778.
    The focus in the literature on scientific explanation has shifted in recent years towards model-based approaches. In recent work, Alisa Bokulich has argued that idealization has a central role to play in explanation. Bokulich claims that certain highly-idealized, structural models can be explanatory, even though they are not considered explanatory by causal, mechanistic, or covering law accounts of explanation. This paper focuses on Bokulich’s account in order to make the more general claim that there are problems with maintaining that a (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   5 citations  
  42. Explanatory Completeness and Idealization in Large Brain Simulations: A Mechanistic Perspective.Marcin Miłkowski - 2016 - Synthese 193 (5):1457-1478.
    The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, I (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   16 citations  
  43. Imagination in Scientific Modeling.Adam Toon - 2016 - In Amy Kind (ed.), The Routledge Handbook of Philosophy of Imagination. Routledge. pp. 451-462.
    Modeling is central to scientific inquiry. It also depends heavily upon the imagination. In modeling, scientists seem to turn their attention away from the complexity of the real world to imagine a realm of perfect spheres, frictionless planes and perfect rational agents. Modeling poses many questions. What are models? How do they relate to the real world? Recently, a number of philosophers have addressed these questions by focusing on the role of the imagination in modeling. Some have also drawn parallels (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   4 citations  
  44. The Diverse Aims of Science.Angela Potochnik - 2015 - Studies in History and Philosophy of Science Part A 53:71-80.
    There is increasing attention to the centrality of idealization in science. One common view is that models and other idealized representations are important to science, but that they fall short in one or more ways. On this view, there must be an intermediary step between idealized representation and the traditional aims of science, including truth, explanation, and prediction. Here I develop an alternative interpretation of the relationship between idealized representation and the aims of science. In my view, continuing, widespread idealization (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   32 citations  
  45. Understanding Cognition.Gordon Steenbergen - 2015 - Dissertation, Duke University
    Cognitive neuroscience is an interdisciplinary enterprise aimed at explaining cognition and behavior. It appears to be succeeding. What accounts for this apparent explanatory success? According to one prominent philosophical thesis, cognitive neuroscience explains by discovering and describing mechanisms. This "mechanist thesis" is open to at least two interpretations: a strong metaphysical thesis that Carl Craver and David Kaplan defend, and a weaker methodological thesis that William Bechtel defends. I argue that the metaphysical thesis is false and that the methodological thesis (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark  
  46. Modeling Measurement: Error and Uncertainty.Alessandro Giordani & Luca Mari - 2014 - In Marcel Boumans, Giora Hon & Arthur Petersen (eds.), Error and Uncertainty in Scientific Practice. Pickering & Chatto. pp. 79-96.
    In the last few decades the role played by models and modeling activities has become a central topic in the scientific enterprise. In particular, it has been highlighted both that the development of models constitutes a crucial step for understanding the world and that the developed models operate as mediators between theories and the world. Such perspective is exploited here to cope with the issue as to whether error-based and uncertainty-based modeling of measurement are incompatible, and thus alternative with one (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   8 citations  
  47. Don’T Blame the Idealizations.Nicholaos Jones - 2013 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 44 (1):85-100.
    Idealizing conditions are scapegoats for scientific hypotheses, too often blamed for falsehood better attributed to less obvious sources. But while the tendency to blame idealizations is common among both philosophers of science and scientists themselves, the blame is misplaced. Attention to the nature of idealizing conditions, the content of idealized hypotheses, and scientists’ attitudes toward those hypotheses shows that idealizing conditions are blameless when hypotheses misrepresent. These conditions help to determine the content of idealized hypotheses, and they do so in (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   3 citations  
  48. Pluralism in Evolutionary Controversies: Styles and Averaging Strategies in Hierarchical Selection Theories.Rasmus Grønfeldt Winther, Michael J. Wade & Christopher C. Dimond - 2013 - Biology and Philosophy 28 (6):957-979.
    Two controversies exist regarding the appropriate characterization of hierarchical and adaptive evolution in natural populations. In biology, there is the Wright-Fisher controversy over the relative roles of random genetic drift, natural selection, population structure, and interdemic selection in adaptive evolution begun by Sewall Wright and Ronald Aylmer Fisher. There is also the Units of Selection debate, spanning both the biological and the philosophical literature and including the impassioned group-selection debate. Why do these two discourses exist separately, and interact relatively little? (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   5 citations  
  49. The Rationality Principle Idealized.Boaz Miller - 2012 - Social Epistemology 26 (1):3-30.
    According to Popper's rationality principle, agents act in the most adequate way according to the objective situation. I propose a new interpretation of the rationality principle as consisting of an idealization and two abstractions. Based on this new interpretation, I critically discuss the privileged status that Popper ascribes to it as an integral part of all social scientific models. I argue that as an idealization, the rationality principle may play an important role in the social sciences, but it also has (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   2 citations  
  50. Explanation, Idealisation and the Goldilocks Problem.Brian Weatherson - 2012 - Philosophy and Phenomenological Research 84 (2):461-473.
    Michael Strevens’s book Depth is a great achievement.1 To say anything interesting, useful and true about explanation requires taking on fundamental issues in the metaphysics and epistemology of science. So this book not only tells us a lot about scientific explanation, it has a lot to say about causation, lawhood, probability and the relation between the physical and the special sciences. It should be read by anyone interested in any of those questions, which includes presumably the vast majority of readers (...)
    Remove from this list   Download  
     
    Export citation  
     
    Bookmark   10 citations  
1 — 50 / 63