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The most influential rationalist model of scientific knowledge is arguably the one formulated recently by Michael Friedman. The central epistemic claim of the model concerns the character of its fundamental principles which are said to be independent from experience. Friedman’s position faces the modern empiricist challenge: he has to explain how the principles could still be a priori if they change under empirical pressure. This book provides a contemporary account of the epistemic character of the principles, addressing recent work on the a priori in modern analytic epistemology. Its main thesis is that at least some principles within natural science are not empirically but a priori revisable. A Priori Revisability in Science formulates a general notion of epistemic revisability and extracts two kinds of specific revisabilities: the traditional empirical one and the suggested novel a priori revisability. It presents the argument that the latter is as vital as the former and even so within natural science. To demonstrate this, the author analyzes two case studies – one from the history of geometry and one from the history of physics – and shows that the revisions were a priori. The result of this is two-fold. First, a genuine alternative of empirical revisability is developed, and not just for traditional a priori domains like mathematics, but for the natural sciences as well. Second, a new mechanism for the dynamics of science is suggested, the a priori dynamics, at the core of which the scientific knowledge sometimes evolves through non-empirical moves.
Novel conceptual analysis, fresh historical perspectives, and concrete physical examples illuminate one of the most thought-provoking topics in physics.
In this book, David Stump traces alternative conceptions of the a priori in the philosophy of science and defends a unique position in the current debates over conceptual change and the constitutive elements in science. Stump emphasizes the unique epistemological status of the constitutive elements of scientific theories, constitutive elements being the necessary preconditions that must be assumed in order to conduct a particular scientific inquiry. These constitutive elements, such as logic, mathematics, and even some fundamental laws of nature, were once taken to be a priori knowledge but can change, thus leading to a dynamic or relative a priori. Stump critically examines developments in thinking about constitutive elements in science as a priori knowledge, from Kant’s fixed and absolute a priori to Quine’s holistic empiricism. By examining the relationship between conceptual change and the epistemological status of constitutive elements in science, Stump puts forward an argument that scientific revolutions can be explained and relativism can be avoided without resorting to universals or absolutes.
This book deals with questions about the nature of a priori knowledge and its relation to empirical knowledge. Until the twentieth century, it was more or less taken for granted that there was such a thing as a priori knowledge, that is, knowledge whose source is in reason and reflection rather than sensory experience. With a few notable exceptions, philosophers believed that mathematics, logic and philosophy were all a priori. Although the seeds of doubt were planted earlier on, by the early twentieth century, philosophers were widely skeptical of the idea that there was any nontrivial existence of a priori knowledge. By the mid to late twentieth century, it became fashionable to doubt the existence of any kind of a priori knowledge at all. Since many think that philosophy is an a priori discipline if it is any kind of discipline at all, the questions about a priori knowledge are fundamental to our understanding of philosophy itself.
Statistics links microscopic and macroscopic phenomena, and requires for this reason a large number of microscopic elements like atoms. The results are values of maximum probability or of averaging. This introduction to statistical physics concentrates on the basic principles, and attempts to explain these in simple terms supplemented by numerous examples. These basic principles include the difference between classical and quantum statistics, a priori probabilities as related to degeneracies, the vital aspect of indistinguishability as compared with distinguishability in classical physics, the differences between conserved and non-conserved elements, the different ways of counting arrangements in the three statistics (Maxwell-Boltzmann, Fermi-Dirac, Bose-Einstein), the difference between maximization of the number of arrangements of elements, and averaging in the Darwin-Fowler method. Significant applications to solids, radiation and electrons in metals are treated in separate chapters, as well as Bose-Einstein condensation. This revised second edition contains an additional chapter on the Boltzmann transport equation along with appropriate applications. Also, more examples have been added throughout, as well as further references to literature.
This book is the first comprehensive attempt to solve what Hartry Field has called "the central problem in the metaphysics of causation": the problem of reconciling the need for causal notions in the special sciences with the limited role of causation in physics. If the world evolves fundamentally according to laws of physics, what place can be found for the causal regularities and principles identified by the special sciences? Douglas Kutach answers this question by invoking a novel distinction between fundamental and derivative reality and a complementary conception of reduction. He then constructs a framework that allows all causal regularities from the sciences to be rendered in terms of fundamental relations. By drawing on a methodology that focuses on explaining the results of specially crafted experiments, Kutach avoids the endless task of catering to pre-theoretical judgments about causal scenarios. This volume is a detailed case study that uses fundamental physics to elucidate causation, but technicalities are eschewed so that a wide range of philosophers can profit. The book is packed with innovations: new models of events, probability, counterfactual dependence, influence, and determinism. These lead to surprising implications for topics like Newcomb's paradox, action at a distance, Simpson's paradox, and more. Kutach explores the special connection between causation and time, ultimately providing a never-before-presented explanation for the direction of causation. Along the way, readers will discover that events cause themselves, that low barometer readings do cause thunderstorms after all, and that we humans routinely affect the past more than we affect the future.