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Showing 1 - 9 of 9 matches in All Departments
Not all scientific explanations work by describing causal connections between events or the world's overall causal structure. Some mathematical proofs explain why the theorems being proved hold. In this book, Marc Lange proposes philosophical accounts of many kinds of non-causal explanations in science and mathematics. These topics have been unjustly neglected in the philosophy of science and mathematics. One important kind of non-causal scientific explanation is termed explanation by constraint. These explanations work by providing information about what makes certain facts especially inevitable - more necessary than the ordinary laws of nature connecting causes to their effects. Facts explained in this way transcend the hurly-burly of cause and effect. Many physicists have regarded the laws of kinematics, the great conservation laws, the coordinate transformations, and the parallelogram of forces as having explanations by constraint. This book presents an original account of explanations by constraint, concentrating on a variety of examples from classical physics and special relativity. This book also offers original accounts of several other varieties of non-causal scientific explanation. Dimensional explanations work by showing how some law of nature arises merely from the dimensional relations among the quantities involved. Really statistical explanations include explanations that appeal to regression toward the mean and other canonical manifestations of chance. Lange provides an original account of what makes certain mathematical proofs but not others explain what they prove. Mathematical explanation connects to a host of other important mathematical ideas, including coincidences in mathematics, the significance of giving multiple proofs of the same result, and natural properties in mathematics. Introducing many examples drawn from actual science and mathematics, with extended discussions of examples from Lagrange, Desargues, Thomson, Sylvester, Maxwell, Rayleigh, Einstein, and Feynman, Because Without Cause's proposals and examples should set the agenda for future work on non-causal explanation.
Why the social character of scientific knowledge makes it trustworthy Are doctors right when they tell us vaccines are safe? Should we take climate experts at their word when they warn us about the perils of global warming? Why should we trust science when so many of our political leaders don't? Naomi Oreskes offers a bold and compelling defense of science, revealing why the social character of scientific knowledge is its greatest strength-and the greatest reason we can trust it. Tracing the history and philosophy of science from the late nineteenth century to today, this timely and provocative book features a new preface by Oreskes and critical responses by climate experts Ottmar Edenhofer and Martin Kowarsch, political scientist Jon Krosnick, philosopher of science Marc Lange, and science historian Susan Lindee, as well as a foreword by political theorist Stephen Macedo.
Why the social character of scientific knowledge makes it trustworthy Do doctors really know what they are talking about when they tell us vaccines are safe? Should we take climate experts at their word when they warn us about the perils of global warming? Why should we trust science when our own politicians don't? In this landmark book, Naomi Oreskes offers a bold and compelling defense of science, revealing why the social character of scientific knowledge is its greatest strength-and the greatest reason we can trust it. Tracing the history and philosophy of science from the late nineteenth century to today, Oreskes explains that, contrary to popular belief, there is no single scientific method. Rather, the trustworthiness of scientific claims derives from the social process by which they are rigorously vetted. This process is not perfect-nothing ever is when humans are involved-but she draws vital lessons from cases where scientists got it wrong. Oreskes shows how consensus is a crucial indicator of when a scientific matter has been settled, and when the knowledge produced is likely to be trustworthy. Based on the Tanner Lectures on Human Values at Princeton University, this timely and provocative book features critical responses by climate experts Ottmar Edenhofer and Martin Kowarsch, political scientist Jon Krosnick, philosopher of science Marc Lange, and science historian Susan Lindee, as well as a foreword by political theorist Stephen Macedo.
Laws of nature have long been thought to have special significance for aspects of scientific reasoning such as counterfactual conditionals, inductive projections, and scientific explanations. But the laws' distinctive roles in scientific reasoning have proved notoriously difficult to identify precisely, leading some philosophers even to suggest that there are no such roles. The aim of this book is to determine these roles and see what a law of nature must be in order for the laws to function as they do in scientific practice. Lange shows that the laws possess a uniquely broad range of invariance under counterfactual perturbations, a range that for the first time is characterised without appealing to the concept of a law. It is argued that the laws fail to supervene on the nonnomic facts, just as the rules governing chess fail to supervene on the moves made in a given actual game. It is also argued, against both regularity accounts and analyses of laws as relations among universals, that a law need not be associated with an exceptionless regularity. It is explained how a law of one scientific field (e.g. cardiology) can be an accident of another (e.g. fundamental physics). Special attention is paid to laws of biology and other 'special sciences', and it is argued that their distinctive range of invariance allows these fields to supply scientific explanations that are irreducible, even in principle, to explanations in terms of fundamental physics. Another special feature of this book is its emphasis on the distinction between laws of nature and physically necessary coincidences, a distinction crucial to the concept of natural kind. An account is also given of 'meta-laws', such as symmetry principles. Among the philosphers receiving special discussion are Lewis, Goodman, van Fraassen, Armstrong, Dretske, Earman, Mill, Fodor, Hempel, Giere, Putnam, Dennett, and Mackie.
Laws of nature have long puzzled philosophers. What distinguishes
laws from facts about the world that do not rise to the level of
laws? How can laws be contingent and nevertheless necessary? In
this brief, accessible study, Lange offers provocative and original
answers to these questions. He argues that laws are distinguished
by their necessity, which is grounded in primitive subjunctive
facts (expressed by counterfactual conditionals). While recognizing
that natural necessity is distinct from logical, metaphysical, and
mathematical necessity, Lange explains how natural necessity
constitutes a species of the same genus as those other varieties of
necessity.
Laws of nature have long puzzled philosophers. What distinguishes
laws from facts about the world that do not rise to the level of
laws? How can laws be contingent and nevertheless necessary? In
this brief, accessible study, Lange offers provocative and original
answers to these questions. He argues that laws are distinguished
by their necessity, which is grounded in primitive subjunctive
facts (expressed by counterfactual conditionals). While recognizing
that natural necessity is distinct from logical, metaphysical, and
mathematical necessity, Lange explains how natural necessity
constitutes a species of the same genus as those other varieties of
necessity.
It is often presumed that the laws of nature have special significance for scientific reasoning. But the laws' distinctive roles have proven notoriously difficult to identify--leading some philosophers to question if they hold such roles at all. This study offers original accounts of the roles that natural laws play in connection with counterfactual conditionals, inductive projections, and scientific explanations, and of what the laws must be in order for them to be capable of playing these roles. Particular attention is given to laws of special sciences, levels of scientific explanation, natural kinds, ceteris-paribus clauses, and physically necessary non-laws.
Not all scientific explanations work by describing causal connections between events or the world's overall causal structure. Some mathematical proofs explain why the theorems being proved hold. In this book, Marc Lange proposes philosophical accounts of many kinds of non-causal explanations in science and mathematics. These topics have been unjustly neglected in the philosophy of science and mathematics. One important kind of non-causal scientific explanation is termed explanation by constraint. These explanations work by providing information about what makes certain facts especially inevitable - more necessary than the ordinary laws of nature connecting causes to their effects. Facts explained in this way transcend the hurly-burly of cause and effect. Many physicists have regarded the laws of kinematics, the great conservation laws, the coordinate transformations, and the parallelogram of forces as having explanations by constraint. This book presents an original account of explanations by constraint, concentrating on a variety of examples from classical physics and special relativity. This book also offers original accounts of several other varieties of non-causal scientific explanation. Dimensional explanations work by showing how some law of nature arises merely from the dimensional relations among the quantities involved. Really statistical explanations include explanations that appeal to regression toward the mean and other canonical manifestations of chance. Lange provides an original account of what makes certain mathematical proofs but not others explain what they prove. Mathematical explanation connects to a host of other important mathematical ideas, including coincidences in mathematics, the significance of giving multiple proofs of the same result, and natural properties in mathematics. Introducing many examples drawn from actual science and mathematics, with extended discussions of examples from Lagrange, Desargues, Thomson, Sylvester, Maxwell, Rayleigh, Einstein, and Feynman, Because Without Cause's proposals and examples should set the agenda for future work on non-causal explanation.
Diplomarbeit aus dem Jahr 2000 im Fachbereich BWL - Unternehmensfuhrung, Management, Organisation, Note: 1,3, Universitat des Saarlandes (Betriebswirtschaftslehre, Wirtschaftsinformatik), Sprache: Deutsch, Abstract: Inhaltsangabe: Einleitung: Virtuelle Gemeinschaften gelten in den Augen vieler als die erfolgversprechendste kommerzielle Online-Erscheinung. Immer mehr Unternehmen erkennen das enorme Potential, welches ihnen virtuelle Gemeinschaften in den Bereichen E-Commerce, Finanzierung, Customer Relationship Management und Wissensmanagement bieten. Auch auf Konsumentenseite steigt das Interesse an den Kommunikations- und Interaktionsmoglichkeiten virtueller Gemeinschaften, welche fur viele Menschen das moderne Verstandnis von Geborgenheit sind. Die vorliegende Arbeit verdeutlicht, dass zum erfolgreichen Betrieb virtueller Gemeinschaften ein effektives Wissensmanagement erforderlich ist. Wissensmanagement in virtuellen Gemeinschaften befasst sich mit dem Wissen in und dem Wissen uber virtuelle Gemeinschaften. Beide Ebenen der Wissensbasis virtueller Gemeinschaften mussen systematisch erschlossen und entwickelt werden, um langfristig den Nutzen der Organisatoren und der Mitglieder zu maximieren. So kann durch die Institutionalisierung eines Wissensmanagements ein Gemeinschaftswissen aufgebaut werden, welches die Attraktivitat der virtuellen Gemeinschaft steigert und einen nachhaltigen Wettbewerbsvorteil darstellt. Im Rahmen der Arbeit werden Methoden dargestellt, mit denen ein solches Wissensmanagement in virtuellen Gemeinschaften durchgefuhrt werden kann. Als Grundlage dafur dient das an der Unternehmenspraxis orientierte Modell des Wissensmanagements von Probst. Anhand der darin enthaltenen Elemente Wissensziele, Wissenserwerb, Wissensentwicklung, Wissensidentifikation, Wissensbewertung, Wissens(ver)teilung, Wissensnutzung und Wissensbewahrung werden Interventionspunkte identifiziert und mogliche Massnahmen vorgeschlagen. Inhaltsverzeichnis: Inhaltsverzeichnis
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