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Beebee, Helen. Necessary Connections and the Problem of Induction
2011, Noûs 45(3): 504-527.

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Added by: Laura Jimenez

Summary: In this paper Beebee argues that the problem of induction, which she describes as a genuine sceptical problem, is the same for Humeans than for Necessitarians. Neither scientific essentialists nor Armstrong can solve the problem of induction by appealing to IBE (Inference to the Best Explanation), for both arguments take an illicit inductive step.

Comment: This paper describes in a comprehensible way Armstrong's and the Humean approaches to the problem of induction. Ideal for postgraduate philosophy of science courses, although it could be a further reading for undergraduate courses as well.

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Bokulich, Alisa. How scientific models can explain
2009, Synthese 180(1): 33-45.

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Added by: Laura Jimenez

Abstract: Scientific models invariably involve some degree of idealization, abstraction, or fictionalization of their target system. Nonetheless, I argue that there are circumstances under which such false models can offer genuine scientific explanations. After reviewing three different proposals in the literature for how models can explain, I shall introduce a more general account of what I call model explanations, which specify the conditions under which models can be counted as explanatory. I shall illustrate this new framework by applying it to the case of Bohr's model of the atom, and conclude by drawing some distinctions between phenomenological models, explanatory models, and fictional models.

Comment: Interesting paper about scientific modelling. It is easy to read and could serve as an introduction to the topic. The paper explores three approaches to Model Explanations: mechanist model explanations, covering-law model explanations, and causal model explanations. The explanatory function in models is illustrated with the example of Bohr's atom. This article is recommended for undergraduate students.

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Cartwright, Nancy. How the Laws of Physics Lie
1983, Oxford University Press.

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Added by: Laura Jimenez

Publisher's Note: Nancy Cartwright argues for a novel conception of the role of fundamental scientific laws in modern natural science. If we attend closely to the manner in which theoretical laws figure in the practice of science, we see that despite their great explanatory power these laws do not describe reality. Instead, fundamental laws describe highly idealized objects in models. Thus, the correct account of explanation in science is not the traditional covering law view, but the 'simulacrum' account. On this view, explanation is a matter of constructing a model that may employ, but need not be consistent with, a theoretical framework, in which phenomenological laws that are true of the empirical case in question can be derived. Anti?realism about theoretical laws does not, however, commit one to anti?realism about theoretical entities. Belief in theoretical entities can be grounded in well?tested localized causal claims about concrete physical processes, sometimes now called 'entity realism'. Such causal claims provide the basis for partial realism and they are ineliminable from the practice of explanation and intervention in nature.

Comment: Essential reading on realism and anti-realism about the laws of nature. Recommended for undergraduates who have prior knowledge of Humeanism about laws and for postgraduates in general. The book consists of a series of philosophical essays that can be used independently.

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Kólá Abímbólá. A critique of Methodological Naturalism
2006, Science in Context, 19(2): 191-213.

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Added by: Laura Jimenez

Abstract: Larry Laudan defends "methodological naturalism" - the position that scientific methodology can be fully empirical and be subject to radical change without sacrificing the rationality of science. This view has two main components: (a) the historical claim that just as substantive science has changed and developed in response to new information and evidence, so have the basic rules and methods which guide theory appraisal in science changed in response to new information about the world; and (b) the philosophical claim that all aspects of science are in principle subject to radical change and evolution in the light of new information about the world. In this paper, the athor argues that one main historical example used by Laudan, namely, the scientific revolution that accompanied the change from the corpuscular to the wave theory of light, does not in fact support the view that there have been radical methodological changes in the history of science.

Comment: Interesting paper about the question of methodological changes in the history of science. Its clarity makes it suitable for undergraduate courses in philosophy of science.

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Morrison, Margaret and, Mary S. Morgan. Models as mediating instruments
1999, In M. S. Morgan and M. Morrison (eds.), Models as Mediators: Perspectives on Natural and Social Science. Cambridge University Press.

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Added by: Jamie Collin

Summary: Morrison and Morgan argue for a view of models as 'mediating instruments' whose role in scientific theorising goes beyond applying theory. Models are partially independent of both theories and the world. This autonomy allows for a unified account of their role as instruments that allow for exploration of both theories and the world.

Comment: Useful as a primary or secondary reading in an advanced undergraduate course on philosophy of science, particularly within a section on scientific modeling. The paper is particularly useful in teaching because it is not unduly technical.

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Morrison, Margaret. Fictions, representations, and reality
2009, In Mauricio Suárez (ed.), Fictions in Science: Philosophical Essays on Modeling and Idealization. Routledge.

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Added by: Jamie Collin

Summary: Uses Maxwell's model of the ether as a case study in accounting for the role of fictions in science. Argues that we should understand idealisation and abstraction as being different from fiction. Fictional models for Morrison are those that are deliberately intended to be such that the relationship between their structure and the structure of the concrete systems they model is not (immediately) apparent. This is different from mere idealisation, where certain structural features are omitted to make calculations more tractable.

Comment: Very useful as a primary or secondary reading in an advanced undergraduate course on philosophy of science (or perhaps on philosophy of fiction). It is philosophically sophisticated, but also treats the science in enough detail to provide students with some clear ideas about the nature of scientific representational practices themselves. Would be appropriate in sections on scientific representation or modelling.

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Cartwright, Nancy. Where Do Laws of Nature Come From?
1997, Dialectica 51(1): 65-78.

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Added by: Jamie Collin

Summary: Cartwright explains and defends the view that causal capacities are more fundamental than laws of nature. She does this by considering scientific practice: the kind of knowledge required to make experimental setups and predictions is knowledge of the causal capacities of the entities in those systems, not knowledge of laws of nature.

Comment: A good introduction to Cartwright's views and the position that causal capacities are real and more fundamental than laws of nature. Useful reading for both undergraduate and graduate courses in philosophy of science and metaphysics.

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Douglas, Heather. Inductive Risk and Values in Science
2000, Philosophy of Science 67(4): 559-579.

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Added by: Nick Novelli

Abstract: Although epistemic values have become widely accepted as part of scientific reasoning, non-epistemic values have been largely relegated to the "external" parts of science (the selection of hypotheses, restrictions on methodologies, and the use of scientific technologies). I argue that because of inductive risk, or the risk of error, non-epistemic values are required in science wherever non-epistemic consequences of error should be considered. I use examples from dioxin studies to illustrate how non-epistemic consequences of error can and should be considered in the internal stages of science: choice of methodology, characterization of data, and interpretation of results.

Comment: A good challenge to the "value-free" status of science, interrogating some of the assumptions about scientific methodology. Uses real-world examples effectively. Suitable for undergraduate teaching.

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Franklin, L. R.. Exploratory Experiments
2005, Philosophy of Science 72(5): 888-899.

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Added by: Nick Novelli

Abstract: Philosophers of experiment have acknowledged that experiments are often more than mere hypothesis-tests, once thought to be an experiment's exclusive calling. Drawing on examples from contemporary biology, I make an additional amendment to our understanding of experiment by examining the way that `wide' instrumentation can, for reasons of efficiency, lead scientists away from traditional hypothesis-directed methods of experimentation and towards exploratory methods.

Comment: Good exploration of the role of experiments, challenging the idea that they are solely useful for testing clearly defined hypotheses. Uses many practical examples, but is very concise and clear. Suitable for undergraduate teaching in an examination of scientific methods in a philosophy of science course.

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Harp, Randall, Kareem Khalifa. Why Pursue Unification? A Social-Epistemological Puzzle
2015, Theoria. An International Journal for Theory, History and Foundations of Science 30(3): 431-447.

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Added by: Nick Novelli

Abstract: Many have argued that unified theories ought to be pursued wherever possible. We deny this on the basis of social-epistemological and game-theoretic considerations. Consequently, those seeking a more ubiquitous role for unification must either attend to the scientific community's social structure in greater detail than has been the case, and/or radically revise their conception of unification.

Comment: An interesting argument about how scientific practice influences the rationality of theory choice. Would be suited to any course where these issues are discussed.

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