Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 594 g
Perspectives from Philosophy of Science
Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 594 g
Reihe: Routledge Studies in the Philosophy of Science
ISBN: 978-1-032-37964-7
Verlag: Taylor & Francis
The volume is divided into three sections, plus an introductory chapter. The introductory chapter provides a state-of-the-art survey of the discussions of modeling possibilities within the philosophy of science, as well as an introduction to the book’s main themes and individual papers. The three sections focus on different kinds of possibility concepts, possibility spaces, and how-possibly modeling in practical situations. The chapters contained in this volume address conceptual and theoretical issues while also presenting case studies from various scientific domains: physics, evolutionary and synthetic biology, network science, climate science, economics, and epidemiology.
Essential reading for philosophers of science, epistemologists, and modelers in various scientific disciplines, Modeling the Possible is also suitable for anyone interested in model-based scientific inferences, their validity, and the policy conclusions derived from them.
Zielgruppe
Postgraduate
Autoren/Hrsg.
Weitere Infos & Material
Introduction Tarja Knuuttila, Till Grüne-Yanoff, Ylwa Sjölin Wirling, and Rami Koskinen Part 1: Possibility Concepts for Scientific Use 1. Through the Prism of Modal Epistemology: Perspectives on Modal Modeling Ylwa Sjölin Wirling and Till Grüne-Yanoff 2. Which Possibilities Contribute to Scientific Understanding? Collin Rice 3. Actual Possibility Paul Teller 4. The Possibilities in Propensities: Emergence and Modality Mauricio Suárez Part 2: Possibility Spaces 5. Invariance, Modality, and Modeling Andreas Hüttemann 6. Modeling the Biologically Possible: Evolvability as a Modal Concept Marcel Weber 7. The Combinatorial Possibilities of Synthetic Biology Tarja Knuuttila and Andrea Loettgers 8. Beyond Networks: Explaining the Dynamics in the Natural and Social Systems Johannes Jaeger, James DiFrisco, and Andrea Loettgers Part 3: Exploring How-Possibly in Practical Contexts 9. Three Strategies for Salvaging Explanatory Value in Deep Neural Network Modeling Philippe Verreault-Julien 10. Modeling Climate Possibilities Joe Roussos 11. Prospective Modeling Alfred Nordmann 12. Alternative Worlds: Reasonable Worlds? Plausible Worlds? Mary S. Morgan 13. Are Pandemics a Necessary Evil? The Role of Epidemiological and Immunological Models in Understanding and Preventing Diseases Gregor P. Greslehner. Index