Understanding Scientific Progress PDF Download

Author: Nicholas Maxwell
Publisher: Paragon House Publishers
ISBN: 9781557789242
Category : Philosophy
Languages : en
Pages : 0

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"Written for students of philosophy of science, the author describes why modern philosophy has been unable to explain scientific progress satisfactorily and develops the concept of aim-oriented empiricism to explain philosophical problems like induction and verisimilitude, which strict logicians cannot solve"--

Author: Keith E. Stanovich
Publisher: Guilford Press
ISBN: 9781572305656
Category : Education
Languages : en
Pages : 564

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Book Description
The last 25 years have seen tremendous advances in the study of psychological processes in reading. Our growing body of knowledge on the reading process and reading acquisition has applications to such important problems as the prevention of reading difficulties and the identification of effective instructional practices. This volume summarizes the gains that have been made in key areas of reading research and provides insights on current controversies and debates. The volume is divided into seven parts, with each part begininning with an introductory chapter presenting findings on the topic at hand, followed by one or more classic papers from the author's research program. Issues covered include phonological processes and context effects in reading, the "reading wars" and how they should be resolved, the meaning of the term "dyslexia," and the cognitive effects and benefits of reading. --From publisher's description.

Author: Thomas S. Kuhn
Publisher: Chicago : University of Chicago Press
ISBN:
Category :
Languages : en
Pages : 172

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Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309486165
Category : Science
Languages : en
Pages : 257

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One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

Author: Peter Vickers
Publisher: Oxford University Press, USA
ISBN: 0199692025
Category : Philosophy
Languages : en
Pages : 286

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Peter Vickers examines 'inconsistent theories' in the history of science—theories which, though contradictory, are held to be extremely useful. He argues that these 'theories' are actually significantly different entities, and warns that the traditional goal of philosophy to make substantial, general claims about how science works is misguided.

Author: Henk W. de Regt
Publisher: University of Pittsburgh Pre
ISBN: 0822971240
Category : Science
Languages : en
Pages : 365

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To most scientists, and to those interested in the sciences, understanding is the ultimate aim of scientific endeavor. In spite of this, understanding, and how it is achieved, has received little attention in recent philosophy of science. Scientific Understanding seeks to reverse this trend by providing original and in-depth accounts of the concept of understanding and its essential role in the scientific process. To this end, the chapters in this volume explore and develop three key topics: understanding and explanation, understanding and models, and understanding in scientific practice. Earlier philosophers, such as Carl Hempel, dismissed understanding as subjective and pragmatic. They believed that the essence of science was to be found in scientific theories and explanations. In Scientific Understanding, the contributors maintain that we must also consider the relation between explanations and the scientists who construct and use them. They focus on understanding as the cognitive state that is a goal of explanation and on the understanding of theories and models as a means to this end. The chapters in this book highlight the multifaceted nature of the process of scientific research. The contributors examine current uses of theory, models, simulations, and experiments to evaluate the degree to which these elements contribute to understanding. Their analyses pay due attention to the roles of intelligibility, tacit knowledge, and feelings of understanding. Furthermore, they investigate how understanding is obtained within diverse scientific disciplines and examine how the acquisition of understanding depends on specific contexts, the objects of study, and the stated aims of research.

Author: Seungbae Park
Publisher: Springer Nature
ISBN: 3030878139
Category : Science
Languages : en
Pages : 249

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This book provides philosophers of science with new theoretical resources for making their own contributions to the scientific realism debate. Readers will encounter old and new arguments for and against scientific realism. They will also be given useful tips for how to provide influential formulations of scientific realism and antirealism. Finally, they will see how scientific realism relates to scientific progress, scientific understanding, mathematical realism, and scientific practice.

Author: Mansoor Niaz
Publisher: Springer Science & Business Media
ISBN: 1402096267
Category : Education
Languages : en
Pages : 217

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Book Description
It is generally believed that doing science means accumulating empirical data with no or little reference to the interpretation of the data based on the scientist’s th- retical framework or presuppositions. Holton (1969a) has deplored the widely accepted myth (experimenticism) according to which progress in science is presented as the inexorable result of the pursuit of logically sound conclusions from un- biguous experimental data. Surprisingly, some of the leading scientists themselves (Millikan is a good example) have contributed to perpetuate the myth with respect to modern science being essentially empirical, that is carefully tested experim- tal facts (free of a priori conceptions), leading to inductive generalizations. Based on the existing knowledge in a field of research a scientist formulates the guiding assumptions (Laudan et al. , 1988), presuppositions (Holton, 1978, 1998) and “hard core” (Lakatos, 1970) of the research program that constitutes the imperative of presuppositions, which is not abandoned in the face of anomalous data. Laudan and his group consider the following paraphrase of Kant by Lakatos as an important guideline: philosophy of science without history of science is empty. Starting in the 1960s, this “historical school” has attempted to redraw and replace the positivist or logical empiricist image of science that dominated for the first half of the twentieth century. Among other aspects, one that looms large in these studies is that of “guiding assumptions” and has considerable implications for the main thesis of this monograph (Chapter 2).

Author: Michael Strevens
Publisher: Liveright Publishing
ISBN: 1631491385
Category : Science
Languages : en
Pages : 368

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“The Knowledge Machine is the most stunningly illuminating book of the last several decades regarding the all-important scientific enterprise.” —Rebecca Newberger Goldstein, author of Plato at the Googleplex A paradigm-shifting work, The Knowledge Machine revolutionizes our understanding of the origins and structure of science. • Why is science so powerful? • Why did it take so long—two thousand years after the invention of philosophy and mathematics—for the human race to start using science to learn the secrets of the universe? In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument. Like such classic works as Karl Popper’s The Logic of Scientific Discovery and Thomas Kuhn’s The Structure of Scientific Revolutions, The Knowledge Machine grapples with the meaning and origins of science, using a plethora of vivid historical examples to demonstrate that scientists willfully ignore religion, theoretical beauty, and even philosophy to embrace a constricted code of argument whose very narrowness channels unprecedented energy into empirical observation and experimentation. Strevens calls this scientific code the iron rule of explanation, and reveals the way in which the rule, precisely because it is unreasonably close-minded, overcomes individual prejudices to lead humanity inexorably toward the secrets of nature. “With a mixture of philosophical and historical argument, and written in an engrossing style” (Alan Ryan), The Knowledge Machine provides captivating portraits of some of the greatest luminaries in science’s history, including Isaac Newton, the chief architect of modern science and its foundational theories of motion and gravitation; William Whewell, perhaps the greatest philosopher-scientist of the early nineteenth century; and Murray Gell-Mann, discoverer of the quark. Today, Strevens argues, in the face of threats from a changing climate and global pandemics, the idiosyncratic but highly effective scientific knowledge machine must be protected from politicians, commercial interests, and even scientists themselves who seek to open it up, to make it less narrow and more rational—and thus to undermine its devotedly empirical search for truth. Rich with illuminating and often delightfully quirky illustrations, The Knowledge Machine, written in a winningly accessible style that belies the import of its revisionist and groundbreaking concepts, radically reframes much of what we thought we knew about the origins of the modern world.

Author: Jonathan L. Kvanvig
Publisher: Cambridge University Press
ISBN: 1139442287
Category : Philosophy
Languages : en
Pages : 234

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Epistemology has for a long time focused on the concept of knowledge and tried to answer questions such as whether knowledge is possible and how much of it there is. Often missing from this inquiry, however, is a discussion on the value of knowledge. In The Value of Knowledge and the Pursuit of Understanding Jonathan Kvanvig argues that epistemology properly conceived cannot ignore the question of the value of knowledge. He also questions one of the most fundamental assumptions in epistemology, namely that knowledge is always more valuable than the value of its subparts. Taking Platos' Meno as a starting point of his discussion, Kvanvig tackles the different arguments about the value of knowledge and comes to the conclusion that knowledge is less valuable than generally assumed. Clearly written and well argued, this 2003 book will appeal to students and professionals in epistemology.