Screen LibraryA critical reflection on automated science : will science remain human? /
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 contributor...
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| Group Author: | ; |
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| Published: |
Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | [2020] |
| Literature type: | Book |
| Language: | English |
| Series: |
Human perspectives in health sciences and technology ;
volume 1. |
| Subjects: | |
| Summary: |
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. |
| Item Description: | The Debate on Gödel's Disjunction and the Axiomatic View |
| Carrier Form: | x, 302 pages : illustrations ; 25 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783030250003 (hardback) : |
| Index Number: | Q175 |
| CLC: | N02 |
| Call Number: | N02/C934 |
| Contents: | Intro -- Foreword: The Social Trends Institute -- Acknowledgments -- Contents -- Introduction. Human Perspectives on the Quest for Knowledge -- Introducing the New Series -- The Theme of the Volume -- Overview of the Volume -- References -- Part I: Can Discovery Be Automated? -- Why Automated Science Should Be Cautiously Welcomed -- Introduction -- Some Advantages of Automated Science -- Styles of Automated Representation -- Two Views on Science -- Epistemic Opacity -- Representational Opacity -- Problems with Automated Science -- Types of Representation -- Reliabilism -- Conclusion |