- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
This book provides a novel approach to a key topic in the history and philosophy of science, the role and status of prediction in the natural sciences. In contrast to most of the literature on the topic, this volume problematizes what constitutes a successful prediction. Even in fields where the value of prediction is not disputed, the role and status of prediction may change, and it is not always clear when a prediction is worth testing. Furthermore, this book examines how the gap between high-level theory and predictions of particular phenomena is bridged by using modelling and computer simulation, and concludes by discussing the dual role of scientific prediction: advancing both scientific knowledge as well as science policy. Written by top scholars in the field, this book is of great interest to historians, philosophers, and other students and scholars of science.
Contents
Chapter 1. Introduction (Theodore Arabatzis, Stathis Arapostathis, Iraklis Katsaloulis, Aristotle Tympas).- Chapter 2. What is the point of prediction? (Alkistis Elliott-Graves).- Chapter 3. Predictions as paradigm dependent: The (big) difference that it makes (Léna Soler).- Chapter 4. The many faces of prediction: Changing aims of the astronomical expeditions organized during the 1910s to test the deflection of light (Ana Simões and Hugo Soares).- Chapter 5. Framing Prediction in High Energy Physics: Epistemic Shifts and Scientific Practices (Grigoris Panoutsopoulos).- Chapter 6. Prediction and discovery in the search for chemical elements (Vanessa Seifert).- Chapter 7. 'On the threshold of a new era': The quantitative predictive turn in Quantum Chemistry (Stylianos Kampouridis).- Chapter 8. Weather and climate modeling and the perils of prediction (Matthias Heymann).- Chapter 9. Doing without Prediction in Sustainability Science (Miles MacLeod and Michiru Nagatsu).- Chapter 10. Prediction and Anti-Prediction as Seismological Brands (Gregory Clancey).- Chapter 11. Values and Decision Making: The Case of Earthquake Prediction (Iraklis Katsaloulis).- Chapter 12. The cost of prediction. How computational methods compromise reproducibility (Johannes Lenhard, Stephan Simon, and Hans Hasse).- Index.
