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Added by: Björn Freter, Contributed by: Johanna ThomaAbstract:
Richard Rudner famously argues that the communication of scientific advice to policy makers involves ethical value judgments. His argument has, however, been rightly criticized. This article revives Rudner’s conclusion, by strengthening both his lines of argument: we generalize his initial assumption regarding the form in which scientists must communicate their results and complete his ‘backup’ argument by appealing to the difference between private and public decisions. Our conclusion that science advisors must, for deep-seated pragmatic reasons, make value judgments is further bolstered by reflections on how the scientific contribution to policy is far less straightforward than the Rudner-style model suggests.
Comment: A major contribution to the values in science debate, focusing in particular on the role of scientists as policy advisers. The text is accessible for advanced students and can be used as the central text for a session on values in science in a philosophy of science course, or a more specialised course on related topics.
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Added by: Fenner Stanley TanswellAbstract:
Over a period of more than 30 years, more than 100 mathematicians worked on a project to classify mathematical objects known as finite simple groups. The Classification, when officially declared completed in 1981, ranged between 300 and 500 articles and ran somewhere between 5,000 and 10,000 journal pages. Mathematicians have hailed the project as one of the greatest mathematical achievements of the 20th century, and it surpasses, both in scale and scope, any other mathematical proof of the 20th century. The history of the Classification points to the importance of face-to-face interaction and close teaching relationships in the production and transformation of theoretical knowledge. The techniques and methods that governed much of the work in finite simple group theory circulated via personal, often informal, communication, rather than in published proofs. Consequently, the printed proofs that would constitute the Classification Theorem functioned as a sort of shorthand for and formalization of proofs that had already been established during personal interactions among mathematicians. The proof of the Classification was at once both a material artifact and a crystallization of one community’s shared practices, values, histories, and expertise. However, beginning in the 1980s, the original proof of the Classification faced the threat of ‘uninvention’. The papers that constituted it could still be found scattered throughout the mathematical literature, but no one other than the dwindling community of group theorists would know how to find them or how to piece them together. Faced with this problem, finite group theorists resolved to produce a ‘second-generation proof’ to streamline and centralize the Classification. This project highlights that the proof and the community of finite simple groups theorists who produced it were co-constitutive–one formed and reformed by the other.Comment (from this Blueprint): Steingart is a sociologist who charts the history and sociology of the development of the extremely large and highly collaborative Classification Theorem. She shows that the proof involved a community deciding on shared values, standards of reliability, expertise, and ways of communicating. For example, the community became tolerant of so-called “local errors” so long as these did not put the main result at risk. Furthermore, Steingart discusses how the proof’s text is distributed across a wide number of places and requires expertise to navigate, leaving the proof in danger of uninvention if the experts retire from mathematics.
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Added by: Nick Novelli, Contributed by: Susan G. SterrettAbstract: 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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Added by: Chris Blake-Turner, Contributed by: Susan G. SterrettAbstract: The analogy Darwin drew between artificial and natural selection in "On the Origin of Species" has a detailed structure that has not been appreciated. In Darwin's analogy, the kind of artificial selection called Methodical selection is analogous to the principle of divergence in nature, and the kind of artificial selection called Unconscious selection is analogous to the principle of extinction in nature. This paper argues that it is the analogy between these two different principles familiar from his studies of artificial selection and the two different principles he claims are operative in nature that provides the main structure and force of the analogy he uses to make his case for the power of natural selection to produce new species. Darwin's statements explicitly distinguishing between these two kinds of principles at work in nature occur prominently in the text of the Origin. The paper also shows that a recent revisionist claim that Darwin did not appeal to the efficacy of artificial selection is mistakenComment: This paper is useful in discussing Darwin's theory as he presented it, i.e., without a knowledge of genetics. It could also be used in discussing analogy and/or metaphor in science.
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Added by: Barbara Cohn, Contributed by: Georgina StewartAbstract: Goals for adding philosophy to the school curriculum centre on the perceived need to improve the general quality of critical thinking found in society. School philosophy also provides a means for asking questions of value and purpose about curriculum content across and between subjects, and, furthermore, it affirms the capability of children to think philosophically. Two main routes suggested are the introduction of philosophy as a subject, and processes of facilitating philosophical discussions as a way of establishing classroom 'communities of inquiry'. This article analyses the place of philosophy in the school curriculum, drawing on three relevant examples of school curriculum reform: social studies, philosophy of science and Kura Kaupapa Māori.
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Added by: Viviane FairbankAbstract:
Janina Hosiasson-Lindenbaum is a known figure in philosophy of probability of the 1930s. A previously unpublished manuscript fills in the blanks in the full picture of her work on inductive reasoning by analogy, until now only accessible through a single publication. In this paper, I present Hosiasson’s work on analogical reasoning, bringing together her early publications that were never translated from Polish, and the recently discovered unpublished work. I then show how her late work relates to Rudolf Carnap’s approach to “analogy by similarity” developed in the 1960s. Hosiasson turns out to be a predecessor of the line of research that models analogical influence as inductive relevance. A translation of Hosiasson’s manuscript concludes the paper.
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Added by: Viviane FairbankAbstract:
According to a popular interpretation, Carnap’s interpretation of probability had evolved from a logical towards a subjective conception. However Carnap himself insisted that his basic philosophical view of probability was always the same. I address this apparent clash between Carnap's self-identification and the subsequent interpretations of his work. Following its original intentions, I reconstruct inductive logic as an explication. The emerging picture is of a versatile linguistic framework, whose main function is not the discovery of objective logical relations in the object language, but the stipulation of conceptual possibilities. Within this representation, I map out the changes that the project went through. Seen from such an explication-based perspective, inductive logic becomes quite hard to categorize using the standard labels.
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Added by: Rie IzukaAbstract: In this paper I offer an original account of intellectual modesty and some of its surrounding vices: intellectual haughtiness, arrogance, servility and self-abasement. I argue that these vices are attitudes as social psychologists understand the notion. I also draw some of the educational implications of the account. In particular, I urge caution about the efficacy of direct instruction about virtue and of stimulating emulation through exposure to positive exemplars.Comment: This article examines the intellectual vice of arrogance, and also touches upon the issue of how to teach virtues. The author is urging caution about the efficacy of exemplarism: a popular view on the education for virtues, and instead offers an alternative method of teaching virtues: self-affirmation.
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Added by: Rie IzukaAbstract: In this paper I offer an original account of intellectual modesty and some of its surrounding vices: intellectual haughtiness, arrogance, servility and self-abasement. I argue that these vices are attitudes as social psychologists understand the notion. I also draw some of the educational implications of the account. In particular, I urge caution about the efficacy of direct instruction about virtue and of stimulating emulation through exposure to positive exemplars.Comment: This article examins an intellecutal vice of arrogance, and also touches upon the issue of how to teach virtues. This paper works well in teaching individual vice to undergrads, it does not require any prior knowledge of virtue epistemology, hence, perfect for introductory course of virtue epistemology.
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Added by: Fenner Stanley TanswellAbstract:
Some personal thoughts and opinions on what “good quality mathematics” is and whether one should try to define this term rigorously. As a case study, the story of Szemer´edi’s theorem is presented.Comment (from this Blueprint): Tao is a mathematician who has written extensively about mathematics as a discipline. In this piece he considers what counts as “good mathematics”. The opening section that I’ve recommended has a long list of possible meanings of “good mathematics” and considers what this plurality means for mathematics. (The remainder details the history of Szemerédi’s theorem, and argues that good mathematics also involves contributing to a great story of mathematics. However, it gets a bit technical, so only look into it if you’re particularly interested in the details of the case.)