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Scientific Explanation And The Causal Structure Of The World


Scientific Explanation And The Causal Structure Of The World
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Scientific Explanation And The Causal Structure Of The World


Scientific Explanation And The Causal Structure Of The World
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Author : Wesley C. Salmon
language : en
Publisher:
Release Date : 1999

Scientific Explanation And The Causal Structure Of The World written by Wesley C. Salmon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.




Scientific Explanation And The Causal Structure Of The World


Scientific Explanation And The Causal Structure Of The World
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Author : Wesley C. Salmon
language : en
Publisher: Princeton University Press
Release Date : 2020-11-10

Scientific Explanation And The Causal Structure Of The World written by Wesley C. Salmon and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with Science categories.


The philosophical theory of scientific explanation proposed here involves a radically new treatment of causality that accords with the pervasively statistical character of contemporary science. Wesley C. Salmon describes three fundamental conceptions of scientific explanation--the epistemic, modal, and ontic. He argues that the prevailing view (a version of the epistemic conception) is untenable and that the modal conception is scientifically out-dated. Significantly revising aspects of his earlier work, he defends a causal/mechanical theory that is a version of the ontic conception. Professor Salmon's theory furnishes a robust argument for scientific realism akin to the argument that convinced twentieth-century physical scientists of the existence of atoms and molecules. To do justice to such notions as irreducibly statistical laws and statistical explanation, he offers a novel account of physical randomness. The transition from the "reviewed view" of scientific explanation (that explanations are arguments) to the causal/mechanical model requires fundamental rethinking of basic explanatory concepts.



Because Without Cause


Because Without Cause
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Author : Marc Lange
language : en
Publisher: Oxford University Press
Release Date : 2017

Because Without Cause written by Marc Lange and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Mathematics categories.


Not all scientific explanations work by describing causal connections between events or the world's overall causal structure. In addition, mathematicians regard some proofs as explaining why the theorems being proved do in fact hold. This book proposes new philosophical accounts of many kinds of non-causal explanations in science and mathematics.



Four Decades Of Scientific Explanation


Four Decades Of Scientific Explanation
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Author : Wesley C. Salmon
language : en
Publisher: University of Pittsburgh Press
Release Date : 2006-06-15

Four Decades Of Scientific Explanation written by Wesley C. Salmon and has been published by University of Pittsburgh Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-15 with Philosophy categories.


As Aristotle stated, scientific explanation is based on deductive argument-yet, Wesley C. Salmon points out, not all deductive arguments are qualified explanations. The validity of the explanation must itself be examined. Four Decades of Scientific Explanation provides a comprehensive account of the developments in scientific explanation that transpired in the last four decades of the twentieth century. It continues to stand as the most comprehensive treatment of the writings on the subject during these years.Building on the historic 1948 essay by Carl G. Hempel and Paul Oppenheim, "Studies in the Logic of Explanation," which introduced the deductive-nomological (D-N) model on which most work on scientific explanation was based for the following four decades, Salmon goes beyond this model's inherent basis of describing empirical knowledge to tells us "not only what, but also why." Salmon examines the predominant models in chronological order and describes their development, refinement, and criticism or rejection.Four Decades of Scientific Explanation underscores the need for a consensus of approach and ongoing evaluations of methodology in scientific explanation, with the goal of providing a better understanding of natural phenomena.



Scientific Explanation


Scientific Explanation
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Author : Philip Kitcher
language : en
Publisher: U of Minnesota Press
Release Date : 1962-05-25

Scientific Explanation written by Philip Kitcher and has been published by U of Minnesota Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962-05-25 with Science categories.


Scientific Explanation was first published in 1962. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions. Is a new consensus emerging in the philosophy of science? The nine distinguished contributors to this volume apply that question to the realm of scientific explanation and, although their conclusions vary, they agree in one respect: there definitely was an old consensus. Co-editor Wesley Salmon's opening essay, "Four Decades of Scientific Explanation," grounds the entire discussion. His point of departure is the founding document of the old consensus: a 1948 paper by Carl G. Hempel and Paul Oppenheim, "Studies in the Logic of Explanation," that set forth, with remarkable clarity, a mode of argument that came to be known as the deductive-nomological model. This approach, holding that explanation dies not move beyond the sphere of empirical knowledge, remained dominant during the hegemony of logical empiricism from 1950 to 1975. Salmon traces in detail the rise and breakup of the old consensus, and examines the degree to which there is, if not a new consensus, at least a kind of reconciliation on this issue among contemporary philosophers of science and clear agreement that science can indeed tell us why. The other contributors, in the order of their presentations, are: Peter Railton, Matti Sintonen, Paul W. Humphreys, David Papineau, Nancy Cartwright, James Woodward, Merrilee H. Salmon, and Philip Kitcher.



Statistical Explanation And Statistical Relevance


Statistical Explanation And Statistical Relevance
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Author : Wesley C. Salmon
language : en
Publisher: University of Pittsburgh Pre
Release Date : 2010-11-23

Statistical Explanation And Statistical Relevance written by Wesley C. Salmon and has been published by University of Pittsburgh Pre this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-23 with Philosophy categories.


According to modern physics, many objectively improbable events actually occur, such as the spontaneous disintegration of radioactive atoms. Because of high levels of improbability, scientists are often at a loss to explain such phenomena. In this main essay of this book, Wesley Salmon offers a solution to scientific explanation based on the concept of statistical relevance (the S-R model). In this vein, the other two essays herein discuss "Statistical Relevance vs. Statistical Inference," and "Explanation and Information."



Causal Models


Causal Models
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Author : Steven Sloman
language : en
Publisher: Oxford University Press
Release Date : 2005-07-28

Causal Models written by Steven Sloman and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-28 with Psychology categories.


Human beings are active agents who can think. To understand how thought serves action requires understanding how people conceive of the relation between cause and effect, between action and outcome. In cognitive terms, how do people construct and reason with the causal models we use to represent our world? A revolution is occurring in how statisticians, philosophers, and computer scientists answer this question. Those fields have ushered in new insights about causal models by thinking about how to represent causal structure mathematically, in a framework that uses graphs and probability theory to develop what are called causal Bayesian networks. The framework starts with the idea that the purpose of causal structure is to understand and predict the effects of intervention. How does intervening on one thing affect other things? This is not a question merely about probability (or logic), but about action. The framework offers a new understanding of mind: Thought is about the effects of intervention and cognition is thus intimately tied to actions that take place either in the actual physical world or in imagination, in counterfactual worlds. The book offers a conceptual introduction to the key mathematical ideas, presenting them in a non-technical way, focusing on the intuitions rather than the theorems. It tries to show why the ideas are important to understanding how people explain things and why thinking not only about the world as it is but the world as it could be is so central to human action. The book reviews the role of causality, causal models, and intervention in the basic human cognitive functions: decision making, reasoning, judgment, categorization, inductive inference, language, and learning. In short, the book offers a discussion about how people think, talk, learn, and explain things in causal terms, in terms of action and manipulation.



Scientific Explanation


Scientific Explanation
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Author : Erik Weber
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-07-08

Scientific Explanation written by Erik Weber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Science categories.


When scientist investigate why things happen, they aim at giving an explanation. But what does a scientific explanation look like? In the first chapter (Theories of Scientific Explanation) of this book, the milestones in the debate on how to characterize scientific explanations are exposed. The second chapter (How to Study Scientific Explanation?) scrutinizes the working-method of three important philosophers of explanation, Carl Hempel, Philip Kitcher and Wesley Salmon and shows what went wrong. Next, it is the responsibility of current philosophers of explanation to go on where Hempel, Kitcher and Salmon failed. However, we should go on in a clever way. We call this clever way the pragmatic approach to scientific explanation and clarify briefly what this approach consists in. The third chapter (A Toolbox for Describing and Evaluating Explanatory Practices) elaborates the pragmatic approach by presenting a toolbox for analysing scientific explanation. In the last chapter (Examples of Descriptions and Evaluations of Explanatory Practices) the approach is illustrated with real-life examples of scientists aiming at explaining. This book can be used as a textbook for intermediate philosophy of science courses and is also valuable as “suggested reading” for introductory courses in philosophy of science. The way the book is set up makes it an excellent study and research guide for advanced (MA and PhD) students that work on the topic of scientific explanation. Finally, it is a handy source and reference book for senior researchers in the field of scientific explanations and – more generally – for all philosophers of science. ​



Causation In Science


Causation In Science
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Author : Yemima Ben-Menahem
language : en
Publisher: Princeton University Press
Release Date : 2018-06-12

Causation In Science written by Yemima Ben-Menahem and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-12 with Science categories.


This book explores the role of causal constraints in science, shifting our attention from causal relations between individual events--the focus of most philosophical treatments of causation—to a broad family of concepts and principles generating constraints on possible change. Yemima Ben-Menahem looks at determinism, locality, stability, symmetry principles, conservation laws, and the principle of least action—causal constraints that serve to distinguish events and processes that our best scientific theories mandate or allow from those they rule out. Ben-Menahem's approach reveals that causation is just as relevant to explaining why certain events fail to occur as it is to explaining events that do occur. She investigates the conceptual differences between, and interrelations of, members of the causal family, thereby clarifying problems at the heart of the philosophy of science. Ben-Menahem argues that the distinction between determinism and stability is pertinent to the philosophy of history and the foundations of statistical mechanics, and that the interplay of determinism and locality is crucial for understanding quantum mechanics. Providing historical perspective, she traces the causal constraints of contemporary science to traditional intuitions about causation, and demonstrates how the teleological appearance of some constraints is explained away in current scientific theories such as quantum mechanics. Causation in Science represents a bold challenge to both causal eliminativism and causal reductionism—the notions that causation has no place in science and that higher-level causal claims are reducible to the causal claims of fundamental physics.



Making Things Happen


Making Things Happen
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Author : James Woodward
language : en
Publisher: Oxford University Press
Release Date : 2005-10-27

Making Things Happen written by James Woodward and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-27 with Science categories.


In Making Things Happen, James Woodward develops a new and ambitious comprehensive theory of causation and explanation that draws on literature from a variety of disciplines and which applies to a wide variety of claims in science and everyday life. His theory is a manipulationist account, proposing that causal and explanatory relationships are relationships that are potentially exploitable for purposes of manipulation and control. This account has its roots in the commonsense idea that causes are means for bringing about effects; but it also draws on a long tradition of work in experimental design, econometrics, and statistics. Woodward shows how these ideas may be generalized to other areas of science from the social scientific and biomedical contexts for which they were originally designed. He also provides philosophical foundations for the manipulationist approach, drawing out its implications, comparing it with alternative approaches, and defending it from common criticisms. In doing so, he shows how the manipulationist account both illuminates important features of successful causal explanation in the natural and social sciences, and avoids the counterexamples and difficulties that infect alternative approaches, from the deductive-nomological model onwards. Making Things Happen will interest philosophers working in the philosophy of science, the philosophy of social science, and metaphysics, and as well as anyone interested in causation, explanation, and scientific methodology.