Terlazzo, Rosa. Conceptualizing Adaptive Preferences Respectfully: An Indirectly Substantive Account
2016, The Journal of Political Philosophy 24(2): 206-226.
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Added by: Carl FoxAbstract: While the concept of adaptive preferences is an important tool for criticizing injustice, it is often claimed that using the concept involves showing disrespect for persons judged to have adaptive preferences. In this paper, I propose an account of adaptive preferences that does the relevant political work while still showing persons two centrally important kinds of respect. My account is based in what I call an indirect substantive account of autonomy, which places substantive requirements on the options available to a person, rather than on the option that she ultimately prefers. This allows us to pinpoint cases in which a person's circumstances have rendered her insufficiently autonomous, without saying that any conception of the good must be non-autonomous tout court.Comment: This article would make good recommended reading for a session taking an in-depth look at adaptive preferences, or further reading if the topic was autonomy and the session broached questions about preference formation.Ismael, Jenann. Quantum Mechanics2014, The Standford Encyclopedia of Philosophy
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Added by: Laura JimenezIntroduction: Quantum mechanics is, at least at first glance and at least in part, a mathematical machine for predicting the behaviors of microscopic particles - or, at least, of the measuring instruments we use to explore those behaviors - and in that capacity, it is spectacularly successful: in terms of power and precision, head and shoulders above any theory we have ever had. Mathematically, the theory is well understood; we know what its parts are, how they are put together, and why, in the mechanical sense (i.e., in a sense that can be answered by describing the internal grinding of gear against gear), the whole thing performs the way it does, how the information that gets fed in at one end is converted into what comes out the other. The question of what kind of a world it describes, however, is controversial; there is very little agreement, among physicists and among philosophers, about what the world is like according to quantum mechanics. Minimally interpreted, the theory describes a set of facts about the way the microscopic world impinges on the macroscopic one, how it affects our measuring instruments, described in everyday language or the language of classical mechanics. Disagreement centers on the question of what a microscopic world, which affects our apparatuses in the prescribed manner, is, or even could be, like intrinsically; or how those apparatuses could themselves be built out of microscopic parts of the sort the theory describes.Comment: The paper does not deal with the problem of the interpretation of quantum mechanics, but with the mathematical heart of the theory; the theory in its capacity as a mathematical machine. It is recommendable to read this paper before starting to read anything about the interpretations of the theory. The explanation is very clear and introductory and could serve as an introductory reading for both undergraduate and postgraduate courses in philosophy of science focused on the topic of quantum mechanics. Though clearly written, there is enough mathematics here to potentially put off symbol-phobes.Lavelle, J Suilin, Kenny Smith. Do our modern skulls house stone-age minds?2014, in M. Massimi (ed.), Philosophy and the Sciences for Everyone. Routledge
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Added by: Laura JimenezSummary: This is the fifth chapter of the book Philosophy and the Sciences for Everyone. The chapter explores scientific interpretations of how our minds evolved, and some of the methodologies used in forming these interpretations. It relates evolutionary debates to a core issue in the philosophy of mind, namely, whether all knowledge comes from experience, or whether we have 'inborn' knowledge about certain aspects of our world.Comment: Good introduction to evolutionary psychology and the debate about nativism for undergraduate students. It looks at examples coming from ecology such as beaver colonies to understand how the human mind might have adapted to solve specific tasks that our ancestors faced. It is the first chapter of the book dedicated to the philosophy of cognitive sciences. Useful in philosophy of science or philosophy of mind courses.Massimi, Michela, Duncan Pritchard. What is this thing called science?2014, in M. Massimi (ed.), Philosophy and the Sciences for Everyone. Routledge
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Added by: Laura JimenezSummary: This chapter offers a general introduction to philosophy of science. The first part of the chapter takes the reader through the famous relativist debate about Galileo and Cardinal Bellarmine. Several important questions on the topic are explored, such as what makes scientific knowledge special compared with other kinds of knowledge or the importance of demarcating science from non-science. Finally, the chapters gives an overview on how philosophers such as Popper, Duhem, Quine and Kuhn came to answer these questions.Comment: This chapter could be used as in introductory reading to review the nature of scientific knowledge and the most important debates about the scientific method. It is recommendable for undergraduate courses in philosophy of science. No previous knowledge of the field is needed in order to understand the content. The chapter is an introduction to the rest of the book Philosophy and the Sciences for Everyone. Some discussions explored here, such as the problem of underdetermination or Tomas Kuhn's view of scientific knowledge are central to the following chapters in philosophy of cosmology.Series, Peggy, Mark Sprevak. From Intelligent machines to the human brain2014, in M. Massimi (ed.), Philosophy and the Sciences for Everyone. Routledge
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Added by: Laura JimenezSummary: How does one make a clever adaptive machine that can recognise speech, control an aircraft, and detect credit card fraud? Recent years have seen a revolution in the kinds of tasks computers can do. Underlying these advances is the burgeoning field of machine learning and computational neuroscience. The same methods that allow us to make clever machines also appear to hold the key to understanding ourselves: to explaining how our brain and mind work. This chapter explores this exciting new field and some of the philosophical questions that it raises.Comment: Really good chapter that could serve to introduce scientific ideas behind the mind-computer analogy. The chapter zooms in on the actual functioning of the human mind as a computer able to perform computations. Recommendable for undergraduate students in Philosophy of Mind or Philosophy of science courses.Massimi, Michela, John Peacock. What are dark matter and dark energy?2014, in M. Massimi (ed.), Philosophy and the Sciences for Everyone. Routledge
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Added by: Laura JimenezSummary: According to the currently accepted model in cosmology, our universe is made up of 5% of ordinary matter, 25% cold dark matter, and 70% dark energy. But what kind of entities are dark matter and dark energy? This chapter asks what the evidence for these entities is and which rival theories are currently available. This provides with an opportunity to explore a well-known philosophical problem known as under-determination of theory by evidence.Comment: This Chapter could serve as an introduction to contemporary cosmology and particle physics or as an example to illustrate the problem of under-determination of theory by evidence. The chapter looks at alternative theories that explain the same experimental evidence without recourse to the hypothesis of dark matter and dark energy and discusses the rationale for choosing between rival research programs. Like the rest of the chapters in this book, it is a reading recommendable for undergraduate students. It is recommended to read it after Chapter 2 of the same book.Massimi, Michela, John Peacock. The origins of the universe: laws, testability and observability in cosmology2014, in M. Massimi (ed.), Philosophy and the Sciences for Everyone. Routledge.
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Added by: Laura JimenezSummary: How did our universe form and evolve? Was there really a Big Bang, and what came before it? This chapter takes the reader through the history of contemporary cosmology and looks at how scientists arrived at the current understanding of our universe. It explores the history of astronomy, with the nebular hypothesis back in the eighteenth century, and in more recent times, Einstein's general relativity and the ensuing cosmological models. Finally, it explains the current Standard Model and early universe cosmology as well as the experimental evidence behind it.Comment: This chapter could be used as an introductory reading to philosophy of cosmology. It provides a general overview of the history of cosmology and of the philosophical problems (laws, uniqueness, observability) that stood in the way of cosmology becoming a science. It is recommendable for undergraduate courses.Brown, Jessica. Experimental Philosophy, Contextualism and SSI2013, Philosophy and Phenomenological Research: 86 (2): 233-261.
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Added by: Jie GaoAbstract: I will ask the conditional question: if folk attributions of "know" are not sensitive to the stakes and/or the salience of error, does this cast doubt on contextualism or subject-sensitive invariantism (SSI)? I argue that if it should turn out that folk attributions of knowledge are insensitive to such factors, then this undermines contextualism, but not SSI. That is not to say that SSI is invulnerable to empirical work of any kind. Rather, I defend the more modest claim that leading versions of SSI are not undermined by one particular kind of experimental result, namely the recent suggestion that knowledge attributions are insensitive to the stakes.Comment: Suitable for an upper-level undergraduate course on epistemology for multiple purposes. It is good as a further reading for sessions on contextualism, pragmatic encroachment, philosophical methodology, and the use of experimental philosophy in epistemological theorizing.Nagel, Jennifer. Knowledge and reliability, Kornblith, Hilary & McLaughlin, Brian (eds.), Alvin Goldman and his Critics. Blackwell.
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Added by: Jie GaoAbstract: Internalists have criticised reliabilism for overlooking the importance of the subject's point of view in the generation of knowledge. This paper argues that there is a troubling ambiguity in the intuitive examples that internalists have used to make their case, and on either way of resolving this ambiguity, reliabilism is untouched. However, the argument used to defend reliabilism against the internalist cases could also be used to defend a more radical form of externalism in epistemology.Comment: This paper defends reliabilism from criticisms according to which our intuition tells against reliabilism. It is suitable for an introductory epistemology course, sessions on reliabilism or epistemic externalism.Nagel, Jennifer. Knowledge as a mental state2013, In: Gendler, Tamar (ed), Oxford Studies in Epistemology, Volume 4. Oxford: Oxford University Press. 275-310
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Added by: Jie GaoAbstract: In the philosophical literature on mental states, the paradigmatic examples of mental states are beliefs, desires, intentions, and phenomenal states such as being in pain. The corresponding list in the psychological literature on mental state attribution includes one further member: the state of knowledge. This article examines the reasons why developmental, comparative and social psychologists have classified knowledge as a mental state, while most recent philosophers - with the notable exception of Timothy Williamson - have not. The disagreement is traced back to a difference in how each side understands the relationship between the concepts of knowledge and belief, concepts which are understood in both disciplines to be closely linked. Psychologists and philosophers other than Williamson have generally have disagreed about which of the pair is prior and which is derivative. The rival claims of priority are examined both in the light of philosophical arguments by Williamson and others, and in the light of empirical work on mental state attribution.Comment: This is a good teaching material on knowledge first. There is a recent response to this paper written by Aidan McGlynn ("Mindreading knowledge", 2016) which can be used together in teaching in order to create a nice dynamic of debate.Can’t find it?Contribute the texts you think should be here and we’ll add them soon!
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