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Added by: Laura Jimenez
Summary: This book serves as an excellent introduction to Indian philosophy from the standpoint of the Nyãya-Vaisesika worldview. The book is divided into six chapters: (i) Introduction; (ii) Doubt (including sections like "Types of Doubt" and "Limits of Doubt"); (iii) Indian Logic (in which Dignaga, Dharmakïrti, and a "Summary of Themes in Indian Logic Relevant to Philosophy of Science" are discussed); (iv) Logic in Science: The Western Way (dealing, among other things, with induction, deduction, and laws and counterfactuals); (v) Science in Logic: The Indian Way? ; and (vi) Knowledge, Truth and Language (including sections with titles like the Pramäna Theory, Truth in Western and Indian Philosophies and Science, Effability, and Bhartrhai).Emery, Nina. Chance, Possibility and explanation2015, The British Journal for the Philosophy of Science 0(2015): 1–64.-
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Added by: Laura Jimenez
Summary: In this paper the author argues against the common and influential view that non-trivial chances arise only when the fundamental laws are indeterministic. The problem with this view, she claims, is not that it conflicts with some antecedently plausible metaphysics of chance or that it fails to capture our everyday use of 'chance' and related terms, but rather that it is unstable. Any reason for adopting the position that non-trivial chances arise only when the fundamental laws are indeterministic is also a reason for adopting a much stronger, and far less attractive, position. Emery suggests an alternative account, according to which chances are probabilities that play a certain explanatory role: they are probabilities that explain associated frequencies.Comment: This could serve as a secondary reading for those studying metaphysic theories of chance. Previous background in metaphysics is needed. The paper is recommended for postgraduate students.
Massimi, Michela. Philosophy and the sciences after Kant2009, Royal Institute of Philosophy Supplement 84(65): 275.-
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Added by: Laura Jimenez
Summary: In this article Massimi discusses the important role that history and philosophy of science plays or ought to play within philosophy. The aim of the paper is to offer a historical reconstruction and a possible diagnosis of why the long marriage between philosophy and the sciences was eventually wrong after Kant. Massimi examines Kant's view on philosophy and the sciences, from his early scientific writings to the development of critical philosophy and the pressing epistemological he felt the need to address in response to the sciences of his time.Comment: Really useful as an historical overview of the relation between history and philosophy of science and mainstream philosophy. It is also useful for introducing students to Kant's philosophy of science. It is an easy reading recommended for undergraduates.
Okasha, Samir. Experiment, observation and the confirmation of laws2011, Analysis 71(2): 222-232.-
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Summary: It is customary to distinguish experimental from purely observational sciences. The former include physics and molecular biology, the latter astronomy and palaeontology. Surprisingly, mainstream philosophy of science has had rather little to say about the observational/experimental distinction. For example, discussions of confirmation usually invoke a notion of 'evidence', to be contrasted with 'theory' or 'hypothesis'; the aim is to understand how the evidence bears on the hypothesis. But whether this 'evidence' comes from observation or experiment generally plays no role in the discussion; this is true of both traditional and modern confirmation theories, Bayesian and non-Bayesian. In this article, the author sketches one possible explanation, by suggesting that observation and experiment will often differ in their confirmatory power. Based on a simple Bayesian analysis of confirmation, Okasha argues that universal generalizations (or 'laws') are typically easier to confirm by experimental intervention than by pure observation. This is not to say that observational confirmation of a law is impossible, which would be flatly untrue. But there is a general reason why confirmation will accrue more easily from experimental data, based on a simple though oft-neglected feature of Bayesian conditionalization.Comment: Previous knowledge of Bayesian conditioning might be needed. The article is suitable for postgraduate courses in philosophy of science focusing in the distinction between observational and experimental science.
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.
Hesse, Mary. Models in Physics1953, British Journal for the Philosophy of Science 4(15): 198-214.-
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Added by: Laura Jimenez
Summary: In this article Hesse defends the idea that scientific theories are hypothetico-deductive in form. She examines this hypothetico-deductive method by considering some examples from nineteenth-century mathematical physics. By means of these examples she brings out two points about scientific hypothesis. The first is that mathematical formalisms, when used as hypotheses in the description of physical phenomena, may function like the mechanical models of an earlier stage in physics, without having in themselves any mechanical or other physical interpret. The second point is that most physicists do not regard models as literal descriptions of nature, but as standing in a relation of analogy to nature.Comment: A really good paper about models in science, mathematical formalism and hypothesis. Highly recomended for postgraduates studying philosophy of physics, although it could also be readable by undergraduates (last years) with previous knowledge of scientific modelling.
Hesse, Mary. Models and analogies in science1966, University of Notre dame Press.-
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Added by: Laura Jimenez
Summary: In this book Hesse argues, contra Duhem, that models and analogies are integral to understanding scientific practice in general and scientific advancement in particular, especially how the domain of a scientific theory is extended and how theories generate genuinely novel predictions. Hesse thinks that, in order help us to understand a new system or phenomenon, we will often create an analogical model that compares this new system or phenomenon with a more familiar system or phenomenon. Hesse distinguishes different types of analogies according to the kinds of similarity relations in which two objects enter: Positive analogies, negative analogies, and neutral analogies. The crux of the argument is that the recognition of similarities of meaning between paired terms and the recognition of similar causal relations within two analogies plays an essential role in theoretical explanation and prediction in science.Comment: This book is an accessible introduction to the topic of scientific modelling. Useful for teaching in undergraduate courses.
D. Mitchell, Sandra. Unsimple Truths: Science, Complexity and Policy2009, The University of Chicago Press Chicago and London.-
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Publisher's Note: In Unsimple Truths, Sandra Mitchell argues that the long-standing scientific and philosophical deference to reductive explanations founded on simple universal laws, linear causal models, and predict-and-act strategies fails to accommodate the kinds of knowledge that many contemporary sciences are providing about the world. She advocates, instead, for a new understanding that represents the rich, variegated, interdependent fabric of many levels and kinds of explanation that are integrated with one another to ground effective prediction and action. Mitchell draws from diverse fields including psychiatry, social insect biology, and studies of climate change to defend "integrative pluralism" - a theory of scientific practices that makes sense of how many natural and social sciences represent the multi-level, multi-component, dynamic structures they study. She explains how we must, in light of the now-acknowledged complexity and contingency of biological and social systems, revise how we conceptualize the world, how we investigate the world, and how we act in the world.Comment: The first five chapters, dealing with scientific methodology and epistemology could serve for undergraduate courses in general philosophy of science. The last chapter dedicated to integrative pluralism, is more specialized and thus more suitable for postgraduate courses.
Hesse, Mary. The Structure of scientific inference1974, University of California Press.-
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Added by: Laura Jimenez
Publisher's Note: A danger of a heavily formalist approach to the structure of science is that it may lose sight of the concrete actualities on which scientific inference is exercised. On the other hand, and excessively descriptive and relativist approach fails to achieve a general systematization of models of inference. This book tries to steer a middle course between these extremes. Hesse first discusses some epistemological problems bequeathed by positivists analyses of science and also considers the problem of inductive justification of theories in relation to evidence. Following Keynes and Carnap she argues that the axioms of probability constitute the best postulate system for a logic of confirmation.Comment: Highly recommended for undergraduates. It covers many important points of the topic: confirmation theory, generalizations, causal laws… It is useful for courses in philosophy of science but it could also serve as a further reading for courses in epistemology.
Longino, Helen. Can there be a feminist science?1987, Hypatia 2(3): 51-64.-
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Added by: Laura Jimenez
Abstract: This paper explores a number of recent proposals regarding "feminist science" and rejects a content-based approach in favor of a process-based approach to characterizing feminist science. Philosophy of science can yield models of scientific reasoning that illuminate the interaction between cultural values and ideology and scientific inquiry. While we can use these models to expose masculine and other forms of bias, we can also use them to defend the introduction of assumptions grounded in feminist political values.Comment: An original work that introduces philosophy of science to feminism. Could serve as further reading for a course on both scientific methodology and social constructivism. It is an easy reading but because highly specialized. I would recommend it for postgraduate courses.
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Sarukkai, Sundar. What is science?
2012, National Book Trust, India.
Comment: The book is recommendable, not only as an introduction to significant and basic themes in Indian philosophy, but also for insightful details in explaining several complex ideas in science and philosophy and for a clear explication of the Indian contribution to discussions on them. Could be suitable for both undergratuates and postgraduates.