图书简介
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.
PART I – CAN DISCOVERY BE AUTOMATED?.-1. Paul Humphreys (University of Virginia) -- Why automated science should be cautiously welcomed.-2. Emanuele Ratti (University of Notre Dame) -- Predictions, phronesis and machine learning in biology.-3. Fridolin Gross (Universität Kassel) -- The impact of formal reasoning in computational biology.-4. Mieke Boon (University of Twente) -- How scientists are brought back into science – The error of empiricism.-5. Marta Bertolaso (Campus Bio-Medico University of Rome) – Identifying observables in bio-medicalsciences.-PART II – KNOWLEDGE JUSTIFICATION AND TRUST BUILDING.-6. Sandra D. Mitchell (University of Pittsburgh) -- Unsimple truths: Multiple perspectives and integrativestrategies.-7. Giuseppe Longo (CNRS et Ecole Normale Supérieure, Paris
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