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Massimi, Michela, John Peacock. The origins of the universe: laws, testability and observability in cosmology
2014, in M. Massimi (ed.), Philosophy and the Sciences for Everyone. Routledge.

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Added by: Laura Jimenez

Summary: 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.

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Moss, Sarah. Epistemology Formalized
2013, Philosophical Review: 122(1): 1-43.

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Added by: Jie Gao

Abstract: This paper argues that just as full beliefs can constitute knowledge, so can properties of your credence distribution. The resulting notion of probabilistic knowledge helps us give a natural account of knowledge ascriptions embedding language of subjective uncertainty, and a simple diagnosis of probabilistic analogs of Gettier cases. Just like propositional knowledge, probabilistic knowledge is factive, safe, and sensitive. And it helps us build knowledge-based norms of action without accepting implausible semantic assumptions or endorsing the claim that knowledge is interest-relative.

Comment: Suitable for an upper-level undergraduate courses or master courses on epistemology or formal epistemology. It is good for teachings on topics of the relation between credence and knowledge, and pragmatic encroachment.

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Nelkin, Dana. The lottery paradox, knowledge and rationality
2000, Philosophical Review: 109 (3): 373-409.

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Added by: Jie Gao

Summary: The knowledge version of the paradox arises because it appears that we know our lottery ticket (which is not relevantly different from any other) will lose, but we know that one of the tickets sold will win. The rationality version of the paradox arises because it appears that it is rational to believe of each single ticket in, say, a million-ticket lottery that it will not win, and that it is simultaneously rational to believe that one such ticket will win. It seems, then, that we are committed to attributing two rational beliefs to a single agent at a single time, beliefs that, together with a few background assumptions, are inconsistent and can be seen by the agent to be so. This has seemed to many to be a paradoxical result: an agent in possession of two rational beliefs that she sees to be inconsistent. In my paper, I offer a novel solution to the paradox in both its rationality and knowledge versions that emphasizes a special feature of the lottery case, namely, the statistical nature of the evidence available to the agent. On my view, it is neither true that one knows nor that it is rational to believe that a particular ticket will lose. While this might seem surprising at first, it has a natural explanation and lacks the serious disadvantages of competing solutions.

Comment: The lottery paradox is one of the most central paradox in epistemology and philosophy of probability. Nelkin's paper is a milestone in the literature on this topic after which discussions on the lottery paradox flourish. It is thus a must-have introductory paper on the lottery paradox for teachings on paradoxes of belief, justification theory, rationality, etc.

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Buchak, Lara. Risk and Rationality
2013, Oxford: Oxford University Press.

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Added by: Jie Gao

Publisher's Note: Lara Buchak sets out a new account of rational decision-making in the face of risk. She argues that the orthodox view is too narrow, and suggests an alternative, more permissive theory: one that allows individuals to pay attention to the worst-case or best-case scenario, and vindicates the ordinary decision-maker.

Comment: This book argues for an alternative account of ideal rationality as opposed to the orthodox view in terms of expected utility theory. Buchak manages to explain the technical details of her theory in such a non-technical way that any student of philosophy will be able to follow her discussion. The book moreover contains very interesting passages on what we might call "the philosophy of decision theory", such as metaphysical and epistemological issues concerning utilities and probabilities. This makes it a good teaching material for courses on decision theory and philosophy of action.

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Sarukkai, Sundar. Indian Philosophy and Philosophy of Science
2005, Motilal Banarsidass Publishers.

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Added by: Laura Jimenez

Summary: Sundar Sarukkai's Indian Philosophy and Philosophy of Science shows how the two very different approaches from East and West can illuminate each other. It is not an introduction to the philosophy of science, but rather an invitation to look at philosophy of science in a new way, using the approaches of classical Indian logic, in particular Navya Nyāya . Sarukkai's major thesis is that in the West philosophy of science tries to put logic into science, and that in the East Indian logic seeks to put science into logic. The naïve Western approach takes an abstract view of logic and formulates science using abstract logical and mathematical theories. Indian logic looks at the world and remains involved with the world throughout. Because of this, logical arguments have to involve contingent matters of fact or observation .Western readers may find the lack of distinction between induction and deduction disturbing, but the Eastern involvement with the world, not merely abstraction, reflects a different way of looking at what logic is and where its origins lie.

Comment: An essential bok for those interested in Indian philosophy of science. The topic is very specialized, but the book is really clear and could be read by both undergraduates and postgraduates. Chapter 3 is really recommendable for undergraduates, since it offers a great introduction to classical indian logic.

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Sarukkai, Sundar. What is science?
2012, National Book Trust, India.

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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).

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.

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Massimi, Michela. Philosophy and the sciences after Kant
2009, 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.

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Ruetsche,Laura. Interpreting Quantum Theories: The art of the possible
2011, Oxford University Press.

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Added by: Laura Jimenez

Publisher's Note: Traditionally, philosophers of quantum mechanics have addressed exceedingly simple systems: a pair of electrons in an entangled state, or an atom and a cat in Dr. Schrodinger's diabolical device. But recently, much more complicated systems, such as quantum fields and the infinite systems at the thermodynamic limit of quantum statistical mechanics, have attracted, and repaid, philosophical attention. Interpreting Quantum Theories has three entangled aims. The first is to guide those familiar with the philosophy of ordinary QM into the philosophy of 'QM infinity', by presenting accessible introductions to relevant technical notions and the foundational questions they frame. The second aim is to develop and defend answers to some of those questions. Does quantum field theory demand or deserve a particle ontology? How (if at all) are different states of broken symmetry different? And what is the proper role of idealizations in working physics? The third aim is to highlight ties between the foundational investigation of QM infinity and philosophy more broadly construed, in particular by using the interpretive problems discussed to motivate new ways to think about the nature of physical possibility and the problem of scientific realism.

Comment: Really interesting book for postgraduate courses involving the study of interpretative theories of Quantum Mechanics. The argument is focused on the quantum theory of systems with infinitely many degrees of freedom. The philosophical approach is defended through careful attention to scientific details.

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Hesse, Mary. Models in Physics
1953, 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.

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Hesse, Mary. Models and analogies in science
1966, 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.

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