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The Routledge Handbook of Philosophy of Scientific Modeling: Routledge Handbooks in Philosophy

Editat de Tarja Knuuttila, Natalia Carrillo, Rami Koskinen
en Limba Engleză Hardback – 5 sep 2024
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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Specificații

ISBN-13: 9781032071510
ISBN-10: 1032071516
Pagini: 586
Ilustrații: 32
Dimensiuni: 174 x 246 mm
Greutate: 1.24 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Seria Routledge Handbooks in Philosophy

Locul publicării:Oxford, United Kingdom

Public țintă

Postgraduate and Undergraduate Advanced

Cuprins

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 Jarosław Boruszewski  13. The Puzzle of Model-Based Explanation N. Emrah Aydinonat  Part 3: Methodological Aspects: Model Construction, Evaluation and Calibration  14. Robustness Analysis Dunja Šešelja, 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

Notă biografică

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.

Descriere

An outstanding reference source to this fast-growing area and is the first volume of its kind. Essential reading for students and scholars of philosophy of science, formal epistemology, and philosophy of social science, and for those in related fields such as computer science and information technology.