A critical reflection on automated science : will science remain human? /: will science remain human?. (2020)
- Record Type:
- Book
- Title:
- A critical reflection on automated science : will science remain human? /: will science remain human?. (2020)
- Main Title:
- A critical reflection on automated science : will science remain human?
- Further Information:
- Note: Marta Bertolaso, Fabio Sterpetti, editors.
- Other Names:
- Bertolaso, Marta
Sterpetti, Fabio - 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 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 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 -- FromIntro -- 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 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 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 … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (302 pages)
- Subjects:
- 501
Science -- Philosophy
Science -- Philosophy
Electronic books - Languages:
- English
- ISBNs:
- 9783030250010
3030250016 - Related ISBNs:
- 9783030250003
- Notes:
- Note: 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
Note: 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
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