Автор: Hugh G. Gauch Jr Название: Scientific Method in Practice ISBN: 0521017084 ISBN-13(EAN): 9780521017084 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook will enable scientists to be better scientists by offering them a deeper understanding of the scientific method.
Название: Natural kinds and classification in scientific practice ISBN: 1138344834 ISBN-13(EAN): 9781138344839 Издательство: Taylor&Francis Рейтинг: Цена: 5817.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Natural kinds are an important topic in current philosophical debate. This edited collection examines kinds from a new focal point, that of the empirical activities and categorizations used by scientists to define them. An esteemed group of contributors explore the nature of kinds and kinding across a variety of disciplines.
Название: Natural Kinds and Classification in Scientific Practice ISBN: 1848935404 ISBN-13(EAN): 9781848935402 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Natural kinds are an important topic in current philosophical debate. This edited collection examines kinds from a new focal point, that of the empirical activities and categorizations used by scientists to define them. An esteemed group of contributors explore the nature of kinds and kinding across a variety of disciplines.
Описание: The informational nature of biological organization, at levels from the genetic and epigenetic to the cognitive and linguistic.
Автор: Boumans Marcel Название: Error and Uncertainty in Scientific Practice ISBN: 1848934165 ISBN-13(EAN): 9781848934160 Издательство: Taylor&Francis Рейтинг: Цена: от 3127.00 р. Наличие на складе: Есть
Описание: Assessment of error and uncertainty is a vital component of both natural and social science. This edited volume presents case studies of research practices across a wide spectrum of scientific fields. It compares methodologies and presents the ingredients needed for an overarching framework applicable to all.
Описание: This book presents a comprehensive discussion on the characterization of vagueness in pictures. It reports on how the problem of representation of images has been approached in scientific practice, highlighting the role of mathematical methods and the philosophical background relevant for issues such as representation, categorization and reasoning. Without delving too much into the technical details, the book examines and defends different kinds of values of fuzziness based on a complex approach to categorization as a practice, adopting conceptual and empirical suggestions from different fields including the arts. It subsequently advances criticisms and provides suggestions for interpretation and application. By describing a cognitive framework based on fuzzy, rough and near sets, and discussing all of the relevant mathematical and philosophical theories for the representation and processing of vagueness in images, the book offers a practice-oriented guide to fuzzy visual reasoning, along with novel insights into the field of interpreting and thinking with fuzzy pictures and fuzzy data.
An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences.
In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in divergent explanatory models. Describing decomposition as the attempt to differentiate functional and structural components of a system and localization as the assignment of responsibility for specific functions to specific structures, Bechtel and Richardson examine the usefulness of these heuristics as well as their fallibility -- the sometimes false assumption underlying them that nature is significantly decomposable and hierarchically organized.
When Discovering Complexity was originally published in 1993, few philosophers of science perceived the centrality of seeking mechanisms to explain phenomena in biology, relying instead on the model of nomological explanation advanced by the logical positivists (a model Bechtel and Richardson found to be utterly inapplicable to the examples from the life sciences in their study). Since then, mechanism and mechanistic explanation have become widely discussed. In a substantive new introduction to this MIT Press edition of their book, Bechtel and Richardson examine both philosophical and scientific developments in research on mechanistic models since 1993.
Автор: Popper, Karl Название: The Logic of Scientific Discovery ISBN: 0415278449 ISBN-13(EAN): 9780415278447 Издательство: Taylor&Francis Рейтинг: Цена: 3367.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First published in English in 1959, Karl Popper`s "The Logic of Scientific Discovery" revolutionized contemporary thinking about science and knowledge and is one of the most widely read books about science written in the 20th century.
Автор: Bertolaso Название: The Future of Scientific Practice ISBN: 1848935625 ISBN-13(EAN): 9781848935624 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on cell dynamics, molecular medicine and robotics, contributors explore the interplay between biological, technological and theoretical ways of thinking. The collection makes a strong contribution to current debates in the philosophy of science and the changing role of scientific practice.
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