The Routledge Handbook of Philosophy of Scientific Modeling (eBook, PDF)

Redaktion: Knuuttila, Tarja; Koskinen, Rami; Carrillo, Natalia

• Format: PDF

Produktbeschreibung

Models and modeling have played an increasingly important role in philosophy, going back to the nineteenth century. While philosophical interest in models has been remarkably lively over the last two decades, there are still many underexplored questions. The Routledge Handbook of Philosophy of Scientific Modeling is an outstanding reference source and guide to this fast-growing area and is the first volume of its kind. Comprised of 40 specially commissioned chapters by an international team of contributors, the Handbook is organized into five clear parts:

• Historical and General Perspectives
• Philosophical Accounts of Modeling
• Methodological Aspects: Model Construction, Evaluation, and Calibration
• Related Topics
• Modeling in the Wild.

Within these parts, the Handbook covers a diverse range of topics, including historical perspectives on modeling, the relationship between models, theories, representation, idealization, and understanding, and related topics like big data, simulation, and statistical and computational modeling. Different kinds of models are discussed, for example, network models, financial models, and climate and synthetic models.

The Routledge Handbook of Philosophy of Scientific Modeling is essential reading for students and scholars of philosophy of science, formal epistemology, and philosophy of social sciences. It is also a valuable resource for those in related fields such as computer science and information technology.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 586
• Erscheinungstermin: 5. September 2024
• Englisch
• ISBN-13: 9781040090411
• Artikelnr.: 72242256

Autorenporträt

Tarja Knuuttila is a Professor of Philosophy of Science at the University of Vienna, Austria. She has developed an artifactual account of models. Knuuttila focuses, in her research, on scientific modeling, interdisciplinarity, and the modal dimension of science with a special focus on synthetic biology, engineering sciences, and economics. Natalia Carrillo is an Associate Researcher at the Institute of Philosophical Research at the National Autonomous University of Mexico (UNAM). She is interested in philosophical problems at the intersection of philosophy of science and technology, especially artifactuality and abstraction in modeling practices, and the role of analogies and metaphors in science. Rami Koskinen is a Researcher at the University of Vienna, Austria, with an interest in the general philosophy of science, philosophy of biology, and epistemology. He has been investigating modal reasoning in the sciences, modeling in synthetic biology, and the question of multiple realizability.

Inhaltsangabe

Introduction Tarja Knuuttila, Natalia Carrillo, and Rami Koskinen Part 1:
Historical and General Perspectives 1. The Emergence of the Modelling
Attitude Mauricio Suárez 2. Theories and Models Roman Frigg 3.
Practice-Oriented Approaches to Scientific Modeling Axel Gelfert Part 2:
Philosophical Accounts of Modeling 4. Representation Julia Sánchez-Dorado
5. Idealization Collin Rice 6. De-Idealization Alejandro Cassini 7. Models,
Fiction, and the Imagination Arnon Levy 8. The Artifactual Account of
Modeling Tarja Knuuttila 9. Target Systems Francesca Pero 10. Minimal
Models Chris Pincock 11. Computer Simulation Juan M. Durán 12. Scientific
Laws and Theoretical Models Krzysztof Nowak-Posadzy and Jaros¿aw
Boruszewski 13. The Puzzle of Model-Based Explanation N. Emrah Aydinonat
Part 3: Methodological Aspects: Model Construction, Evaluation and
Calibration 14. Robustness Analysis Dunja eelja, Wybo Houkes, and Krist
Vaesen 15. Model Evaluation Wendy S. Parker 16. Mathematization Marcel
Boumans 17. The Debated Role of Models in Statistics Johannes Lenhard 18.
Models, Data Models and Big Data Leticia Castillo Brache and Alisa Bokulich
19. Models and Measurement Eran Tal 20. Model Transfer Catherine Herfeld
Part 4: Related Topics 21. Exemplification and Representation-as Catherine
Z. Elgin 22. Scientific Understanding Insa Lawler 23. Modalities in
Modeling Ylwa Sjölin Wirling and Till Grüne-Yanoff 24. Scientific Models
and Thought Experiments Rawad el Skaf and Michael T. Stuart 25. Models and
Maps Rasmus Grønfeldt Winther 26. Metaphors and Analogies Sergio Martínez
27. Narratives Mary S. Morgan 28. Models and Values Kristina Rolin 29.
Interdisciplinarity through Modelling Mieke Boon 30. The Learning of
Modeling K.K. Mashood and Sanjay Chandrasekharan Part 5: Modeling in the
Wild 31. Statistical Mechanical Models of Finance Patricia Palacios and
Jennifer S. Jhun 32. Climate Models Ilkka Pättiniemi and Rami Koskinen 33.
Epistemic Implications of Machine Learning Models in Science Juan M. Durán
Stefan Buijsman 34. In Vitro Analogies: Simulation Modeling in Biomedical
Engineering Sciences Nancy J. Nersessian 35. Synthetic Models in Biology
Andrea Loettgers and Tarja Knuuttila 36. Modeling the Deep Past Adrian
Currie 37. Models and Measurement of Inequality Chiara Lisciandra and
Alessandra Basso 38. Formal Language Theory and Its Interdisciplinary
Applications Chia-Hua Lin 39. How Network Models Contribute to Science
Charles Rathkopf 40. Models of the Nerve Impulse Natalia Carrillo. Index