Modeling the Possible (eBook, PDF)

Perspectives from Philosophy of Science
Redaktion: Knuuttila, Tarja; Sjölin Wirling, Ylwa; Koskinen, Rami; Grüne-Yanoff, Till

• Format: PDF

Produktbeschreibung

Models are used to explore possibilities across all scientific fields. Climate models simulate the potential future climatic conditions under various emissions scenarios, macroeconomic models investigate the implications of various fiscal and monetary policy initiatives, and infectious diseases models study the spread of viral diseases under a range of conditions. Such modeling approaches have not gone ignored by philosophers of science, but they have only recently started to explicitly address modeling the possible. So far, the discussion has been spread across a variety of more or less isolated pockets of debate in the philosophy of science. Modeling the Possible: Perspectives from Philosophy of Science draws together these studies, focusing specifically on how various modeling practices probe possibilities and justify claims concerning them.

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 296
• Erscheinungstermin: 7. Februar 2025
• Englisch
• ISBN-13: 9781040318799
• Artikelnr.: 73144050

Autorenporträt

Tarja Knuuttila is a Professor of Philosophy of Science at the University of Vienna, Austria. Knuuttila's research focuses on scientific modeling, as well as artifactuality and interdisciplinarity in science. Her philosophical work is practice-oriented, with an emphasis on synthetic biology, engineering sciences, and economics. Till Grüne-Yanoff is a Professor of Philosophy at the Royal Institute of Technology, Stockholm, Sweden. His research focuses on scientific modeling, decision theory, and behavioral policy. He often collaborates with psychologists, economists, and engineers on these topics. Rami Koskinen is a Researcher at the University of Vienna, Austria. Koskinen's research focuses on the general philosophy of science and the philosophy of biology. He has studied especially the epistemology of modal inferences, ranging from scientific modeling to biological engineering. Ylwa Sjölin Wirling is a Reader in Theoretical Philosophy at the University of Gothenburg, Sweden, and a Pro Futura Scientia Fellow at the Swedish Collegium of Advanced Study. Her research concerns epistemology, philosophy of science, and metaphilosophy. She has worked on epistemological issues pertaining to modality, especially in the contexts of scientific modeling and philosophical inquiry.

Inhaltsangabe

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