| Description |
1 online resource (302 pages) |
| Series |
Human Perspectives in Health Sciences and Technology Ser. ; v. 1 |
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Human perspectives in health sciences and technology ; v. 1.
|
| 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 |
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The Semantic View of Theories -- Knowledge in the Age of Machine-Learning Technologies -- Empiricist Epistemologies: Theories Add Absolutely Nothing to Data-Models -- Scientific Realism in Defense of Science -- The Pragmatic Value of Scientific Knowledge in Epistemic Tasks -- Preparing the Data -- Epistemic Tasks in Engineering and Biomedical Sciences -- The Error of Empiricism -- References -- Information at the Threshold of Interpretation: Science as Human Construction of Sense -- Introduction: The Origin of Sense |
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The Modern Origin of Elaboration of Information as Formal Deduction: Productivity and Limits of 'Nonsense' in the Foundational Debate in Mathematics -- Reconquering Meaning -- The Role of 'Interpretation' in Programming, as Elaboration of Information -- Which Information Is Handled by a Magic Demon? -- The Biology of Molecules, Well Before the Threshold of Biological Meaning -- From Geodetics to Formal Rules and Back Again -- Computations as Norms -- Back to Geodetics in Artificial Intelligence and to Sense Construction -- Input-Output Machines and Brain Activity -- A Societal Conclusion |
| 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 |
| Bibliography |
References-Instrumental Perspectivism: Is AI Machine Learning Technology Like NMR Spectroscopy?-Introduction-Routes to Scientific Knowledge-The New Technologies-The Instrumental Stance-Theoretical Support-Replicability and Convergence-AI Instrumental Perspectives-References-How Scientists Are Brought Back into Science-The Error of Empiricism-Introduction-Machine-Learning-Machine-Learning Technologies-What Machines Can Do-Empiricist Epistemologies-Basic Assumptions of Empiricism-Scientific Explanation-Data and Phenomena |
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References25-Mathematical Proofs and Scientific Discovery-The Method of Mathematics and the Automation of Science-The Analytic View of the Method of Mathematics-The Analytic Method as a Heuristic Method-The Analytic View and the Automation of Science-Proofs and Programs-Mathematical Knowledge-Mathematical Starting Points-Gödel's Disjunction-Intrinsic and Extrinsic Justification-Lucas' and Penrose's Arguments-Lucas's and Penrose's Arguments and the Axiomatic View-Absolute Provability and the Axiomatic View |
| Notes |
The Debate on Gödel's Disjunction and the Axiomatic View |
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Print version record |
| Subject |
Science -- Philosophy.
|
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Science -- Philosophy
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| Form |
Electronic book
|
| Author |
Bertolaso, Marta
|
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Sterpetti, Fabio.
|
| ISBN |
9783030250010 |
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3030250016 |
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