Models and idealizations in science : artifactual and fictional approaches / Alejandro Cassini, Juan Redmond, editors.
Cassini, Alejandro, editor.; Redmond, Juan, editor.
2021
T57.62
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Title Models and idealizations in science : artifactual and fictional approaches / Alejandro Cassini, Juan Redmond, editors.
ISBN 9783030658021 (electronic bk.)
3030658023 (electronic bk.)
3030658015
9783030658014
DOI https://doi.org/10.1007/978-3-030-65802-1
Publication Details Cham, Switzerland : Springer, 2021.
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-65802-1 doi
Call Number T57.62
Dewey Decimal Classification 003/.3
Summary This book provides both an introduction to the philosophy of scientific modeling and a contribution to the discussion and clarification of two recent philosophical conceptions of models: artifactualism and fictionalism. These can be viewed as different stances concerning the standard representationalist account of scientific models. By better understanding these two alternative views, readers will gain a deeper insight into what a model is as well as how models function in different sciences. Fictionalism has been a traditional epistemological stance related to antirealist construals of laws and theories, such as instrumentalism and inferentialism. By contrast, the more recent fictional view of models holds that scientific models must be conceived of as the same kind of entities as literary characters and places. This approach is essentially an answer to the ontological question concerning the nature of models, which in principle is not incompatible with a representationalist account of the function of models. The artifactual view of models is an approach according to which scientific models are epistemic artifacts, whose main function is not to represent the phenomena but rather to provide epistemic access to them. It can be conceived of as a non-representationalist and pragmatic account of modeling, which does not intend to focus on the ontology of models but rather on the ways they are built and used for different purposes. The different essays address questions such as the artifactual view of idealization, the use of information theory to elucidate the concepts of abstraction and idealization, the deidealization of models, the nature of scientific fictions, the structural account of representation and the ontological status of structures, the role of surrogative reasoning with models, and the use of models for explaining and predicting physical phenomena.
Note Includes indexes.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 2, 2021).
Added Author Cassini, Alejandro, editor.
Redmond, Juan, editor.
Series Logic, epistemology and the unity of science ; v. 50. 2214-9775
Available in Other Form Print version: 9783030658014
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Chapter 1. Introduction: Theories, Models, and Scientific Representations (Alejandro Cassini and Juan Redmond)
Chapter 2. An Artifactual Perspective on Idealization: Constant Capacitance and the Hodgkin and Huxley Model (Natalia Carrillo and Tarja Knuuttila)
Chapter 3. Informative Models: Idealization and Abstraction (Mauricio Suárez and Agnes Bolinska)
Chapter 4. Deidealized Models (Alejandro Cassini)
Chapter 5. Scientific Representation as Ensemble-Plus-Sanding-for: A Moderate Fictionalist Account (José A. Díez)
Chapter 6. Seven Myths About the Fiction View of Models (Roman Frigg and James Nguyen)
Chapter 7. Bridging the Gap: The Artefactual View Meets the Fiction View of Models (Fiora Salis)
Chapter 8. Models as Hypostatizations: The Case of Supervaluationism in Semantics (Manuel García-Carpintero)
Chapter 9. Structural Representation and the Ontology of Models (Otávio Bueno)
Chapter 10. Representation and Surrogate Reasoning: A Proposal from Dialogical Pragmatism (Juan Redmond)
Chapter 11. Prediction and Explanation by Theoretical Models:An Instrumentalist Stance (Andrés Rivadulla)
Chapter 12. Commented Bibliography on Models and Idealizations (Alejandro Cassini)
Name Index
Subject Index.

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