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Added by: Andrea Blomqvist
Abstract: By carefully examining one of the most famous thought experiments in the history of science - that by which Galileo is said to have refuted the Aristotelian theory that heavier bodies fall faster than lighter ones - I attempt to show that thought experiments play a distinctive role in scientific inquiry. Reasoning about particular entities within the context of an imaginary scenario can lead to rationally justified concluusions that - given the same initial information - would not be rationally justifiable on the basis of a straightforward argument.Okasha, Samir. Philosophy of Science: A very short introduction2002, Oxford University Press.-
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Added by: Laura Jimenez
Back Matter: What is science? Is there a real difference between science and myth? Is science objective? Can science explain everything? This Very Short Introduction provides a concise overview of the main themes of contemporary philosophy of science. Beginning with a short history of science to set the scene, Samir Okasha goes on to investigate the nature of scientific reasoning, scientific explanation, revolutions in science, and theories such as realism and anti-realism. He also looks at philosophical issues in particular sciences, including the problem of classification in biology, and the nature of space and time in physics. The final chapter touches on the conflicts between science and religion, and explores whether science is ultimately a good thing.Comment: The book is extremely readable and clear. It is perfect as an introduction for undergraduate students to philosophy of science. It offers an overview of the most important topics of the field including philosophical problems in biology, physics, and linguistics.
Douglas, Heather. Inductive Risk and Values in Science2000, 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.
Franklin, L. R.. Exploratory Experiments2005, 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.
Alexandrova, Anna. Making Models Count2008, Philosophy of Science 75(3): 383-404.-
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Added by: Nick Novelli
Abstract: What sort of claims do scientific models make and how do these claims then underwrite empirical successes such as explanations and reliable policy interventions? In this paper I propose answers to these questions for the class of models used throughout the social and biological sciences, namely idealized deductive ones with a causal interpretation. I argue that the two main existing accounts misrepresent how these models are actually used, and propose a new account.
Comment: A good exploration of the role of models in scientific practice. Provides a good overview of the main theories about models, and some objections to them, before suggesting an alternative. Good use of concrete examples, presented very clearly. Suitable for undergraduate teaching. Would form a useful part of an examination of modelling in philosophy of science.
Thalos, Mariam. Truth deserves to be believed2013, Philosophy 88(2): 179-196.-
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Added by: Nick Novelli
Abstract: Science seems generally to aim at truth. And governmental support of science is often premised on the instrumental value of truth in service of advancing our practical objectives, both as individuals and as communities, large and small. While there is some political expediency to this view, it is not correct. The value of truth is nowise that it helps us achieve our aims. In fact, just the contrary: truth deserves to be believed only on the condition that its claim upon us is orthogonal to any utility it might have in the service of (any and all) practical endsComment: A good anti-pragmatist argument, useful in an exploration of the aims of science, or a good introduction to truth and objectivity in science as an illustration of the reason that might matter. Suitable for both undergraduate and graduate teaching.
Thalos, Mariam. A modest proposal for interpreting structural explanations1998, British Journal for the Philosophy of Science 49(2): 279-295.-
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Added by: Nick Novelli
Abstract: Social sciences face a well-known problem, which is an instance of a general problem faced as well by psychological and biological sciences: the problem of establishing their legitimate existence alongside physics. This, as will become clear, is a problem in metaphysics. I will show how a new account of structural explanations, put forward by Frank Jackson and Philip Pettit, which is designed to solve this metaphysical problem with social sciences in mind, fails to treat the problem in any importantly new way. Then I will propose a more modest approach, and show how it does not deserve the criticism directed at a prototype by Jackson and PettitComment: An interesting argument for the value of structual explanations in sociology. Useful in the context of a discussion of reductionism or of the proper classification of social sciences as real science.
Chang, Hasok. The Persistence of Epistemic Objects Through Scientific Change2011, Erkenntnis 75(3): 413-429.-
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Added by: Nick Novelli
Abstract: Why do some epistemic objects persist despite undergoing serious changes, while others go extinct in similar situations? Scientists have often been careless in deciding which epistemic objects to retain and which ones to eliminate; historians and philosophers of science have been on the whole much too unreflective in accepting the scientists' decisions in this regard. Through a re-examination of the history of oxygen and phlogiston, I will illustrate the benefits to be gained from challenging and disturbing the commonly accepted continuities and discontinuities in the lives of epistemic objects. I will also outline two key consequences of such re-thinking. First, a fresh view on the (dis)continuities in key epistemic objects is apt to lead to informative revisions in recognized periods and trends in the history of science. Second, recognizing sources of continuity leads to a sympathetic view on extinct objects, which in turn problematizes the common monistic tendency in science and philosophy; this epistemological reorientation allows room for more pluralism in scientific practice itself.Comment: An interesting argument about ontology and scientific practice; would be useful in any philosophy of science course that engages with issues in scientific practice.
Chang, Hasok. Inventing Temperature: Measurement and Scientific Progress2004, Oxford University Press USA.-
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Added by: Nick Novelli
Back Matter: In Inventing Temperature, Chang takes a historical and philosophical approach to examine how scientists were able to use scientific method to test the reliability of thermometers; how they measured temperature beyond the reach of thermometers; and how they came to measure the reliability and accuracy of these instruments without a circular reliance on the instruments themselves. Chang discusses simple epistemic and technical questions about these instruments, which in turn lead to more complex issues about the solutions that were developed.Comment: A very good practical case study that provides some great insight into a number of philosophocal questions about science. Would make a good inclusion in a history and philosophy of science course.
Sterrett, Susan G.. Turing’s Two Tests For Intelligence2000, Minds and Machines 10(4): 541-559.-
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Added by: Nick Novelli, Contributed by: Susan G. Sterrett
Abstract: On a literal reading of `Computing Machinery and Intelligence'', Alan Turing presented not one, but two, practical tests to replace the question `Can machines think?'' He presented them as equivalent. I show here that the first test described in that much-discussed paper is in fact not equivalent to the second one, which has since become known as `the Turing Test''. The two tests can yield different results; it is the first, neglected test that provides the more appropriate indication of intelligence. This is because the features of intelligence upon which it relies are resourcefulness and a critical attitude to one''s habitual responses; thus the test''s applicablity is not restricted to any particular species, nor does it presume any particular capacities. This is more appropriate because the question under consideration is what would count as machine intelligence. The first test realizes a possibility that philosophers have overlooked: a test that uses a human''s linguistic performance in setting an empirical test of intelligence, but does not make behavioral similarity to that performance the criterion of intelligence. Consequently, the first test is immune to many of the philosophical criticisms on the basis of which the (so-called) `Turing Test'' has been dismissed.Comment: This paper provides a good analysis of some of the problems with the Turing Test and how they can be avoided. It can be good to use in teaching the classic Turing 1950 paper on the question of whether a computer could be said to 'think' that considers the role of gender in the imitation game version of the test. It could also contribute to an examination of the concept of intelligence, and machine intelligence in particular.
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Gendler, Tamar Szabó. Galileo and the Indispensability of Scientific Thought Experiment
1998, British Journal for the Philosophy of Science 49 (3):397-424.
Comment: This paper would be good to put as further reading in a week focusing on thought experiments. Suitable for a third year module.