The Routledge Handbook of Philosophy of Scientific Modeling.

Format:

Book

Contributor:

Carrillo, Natalia.

Koskinen, Rami.

Series:

Routledge Handbooks in Philosophy Series

Language:

English

Subjects (All):

Social sciences.

Mathematical models.

Physical Description:

1 online resource (843 pages)

Edition:

1st ed.

Place of Publication:

Oxford : Taylor & Francis Group, 2024.

Summary:

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.

Contents:

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.

Notes:

CC BY-NC-ND

Description based on publisher supplied metadata and other sources.

ISBN:

9781040090411

1040090419

9781003205647

100320564X

OCLC:

1427944796

Publisher Number:

https://doi.org/10.4324/9781003205647