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In-8° pp. 48 con 4 dis. n.t. Bross. edit. ill.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a critical reflection on automated science and addresses the question whether the computational tools we developed in last decades are changing the way we humans do science. More concretely: Can machines replace scientists in crucial aspects of scientific practice The contributors to this book re-think and refine some of the main concepts by which science is understood, drawing a fascinating picture of the developments we expect over the next decades of human-machine co-evolution. The volume covers examples from various fields and areas, such as molecular biology, climate modeling, clinical medicine, and artificial intelligence. The explosion of technological tools and drivers for scientific research calls for a renewed understanding of the human character of science. This book aims precisely to contribute to such a renewed understanding of science.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book answers long-standing questions on scientific modeling andinference across multiple perspectives and disciplines, including logicmathematics, physics and medicine. The different chapters cover a variety ofissues, such as the role models play in scientific practice; the way scienceshapes our concept of models; ways of modeling the pursuit of scientificknowledge; the relationship between our concept of models and our concept ofscience. The book also discusses models and scientific explanations; models inthe semantic view of theories; the applicability of mathematical models to thereal world and their effectiveness; the links between models and inferences;and models as a means for acquiring new knowledge. It analyzes differentexamples of models in physics, biology, mathematics and engineering. Writtenfor researchers and graduate students, it provides a cross-disciplinaryreference guide to the notion and the use of models and inferences in science.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book answers long-standing questions on scientific modeling andinference across multiple perspectives and disciplines, including logicmathematics, physics and medicine. The different chapters cover a variety ofissues, such as the role models play in scientific practice; the way scienceshapes our concept of models; ways of modeling the pursuit of scientificknowledge; the relationship between our concept of models and our concept ofscience. The book also discusses models and scientific explanations; models inthe semantic view of theories; the applicability of mathematical models to thereal world and their effectiveness; the links between models and inferences;and models as a means for acquiring new knowledge. It analyzes differentexamples of models in physics, biology, mathematics and engineering. Writtenfor researchers and graduate students, it provides a cross-disciplinaryreference guide to the notion and the use of models and inferences in science.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a critical reflection on automated science and addresses the question whether the computational tools we developed in last decades are changing the way we humans do science. More concretely: Can machines replace scientists in crucial aspects of scientific practice The contributors to this book re-think and refine some of the main concepts by which science is understood, drawing a fascinating picture of the developments we expect over the next decades of human-machine co-evolution. The volume covers examples from various fields and areas, such as molecular biology, climate modeling, clinical medicine, and artificial intelligence. The explosion of technological tools and drivers for scientific research calls for a renewed understanding of the human character of science. This book aims precisely to contribute to such a renewed understanding of science.…

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Hardcover. Zustand: new. Hardcover. This volume offers a series of thought-provoking analyses that explore non-mainstream perspectives on knowledge acquisition and scientific discovery. A central theme across many of the contributions is the heuristic conception of method, a view that finds its philosophical roots in Imre Lakatoss work in the philosophy of mathematics and, more distantly, in Platonic notions of philosophical inquiry.Knowledge acquisition is frequently conceptualized as a form of problem-solving, and problem-solving is typically regarded as a rational endeavor. However, the dominant view in the philosophy of science has long held that scientific discovery resists systematic explanation in terms of logic and rationality. If an alternative account of discovery grounded in these terms can be developed, it would represent a significant theoretical advancement.The essays collected in this book critically assess the promise and limitations of such non-standard accounts, and they investigate the possibility of framing scientific discovery within a logical and rational framework. This volume will be of particular interest to scholars in the philosophy of science, epistemology, philosophy of mathematics, and philosophy of logic, as well as to scientists engaged in theoretical inquiry and graduate students working in these or related areas. This volume will be of particular interest to scholars in the philosophy of science, epistemology, philosophy of mathematics, and philosophy of logic, as well as to scientists engaged in theoretical inquiry and graduate students working in these or related areas. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…