The Routledge handbook of philosophy of scientific modeling / edited by Tarja Knuuttila, Natalia Carrillo, and Rami Koskinen.

Includes bibliographical references and index.

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.

"Models and modeling have played an important role in philosophy, going back to the nineteenth century. However, despite receiving increased attention as philosophers become more interested in mathematical and computational methods, the philosophy and science of modeling remains a relatively under-explored topic. 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 a diverse range of topics are discussed, including historical perspectives on modeling, representation, idealization, fictional models, data models, robustness, computer simulation, experiments, modalities, measurement, interdisciplinary approaches, models and values, 3D models, game theory, and climate and biological modeling. 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 science. It is also a valuable resource for those in related fields such as computer science and information technology"-- Provided by publisher.