ABSTRACT

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.

chapter |8 pages

Introduction

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Scientific models in the philosophy of science
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part 1|48 pages

Historical and general perspectives

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chapter 1|15 pages

The Emergence of the Modelling Attitude

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chapter 2|16 pages

Theories and models

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part 2|136 pages

Philosophical accounts of modeling

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chapter 4|15 pages

Representation

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chapter 5|12 pages

Idealization

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chapter 6|12 pages

Deidealization

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chapter 7|13 pages

Models, fiction, and the imagination

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chapter 8|15 pages

The artifactual approach to modeling

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chapter 9|12 pages

Target systems

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chapter 10|11 pages

Minimal models

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chapter 11|15 pages

Computer simulations

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chapter 13|16 pages

The puzzle of model-based explanation

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part 3|92 pages

Methodological aspects

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chapter 14|13 pages

Robustness analysis

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chapter 15|12 pages

Model evaluation

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chapter 16|13 pages

Mathematization

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chapter 17|12 pages

Epistemology and pragmatism

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The debated role of models in statistics
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chapter 19|14 pages

Models and measurement

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chapter 20|15 pages

Model transfer in science

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part 4|142 pages

Related topics

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chapter 21|11 pages

Models as symbols

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chapter 22|14 pages

Scientific understanding

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chapter 23|13 pages

Modalities in modeling

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chapter 25|13 pages

Models and maps

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chapter 26|13 pages

Metaphors, analogies, and models

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chapter 27|15 pages

Narrative and models

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chapter 28|13 pages

Models and values

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chapter 29|17 pages

Interdisciplinarity through modelling

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chapter 30|15 pages

The learning of modeling

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part 5|134 pages

Modeling in the wild

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chapter 32|13 pages

Climate models

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chapter 34|13 pages

In vitro analogies

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Simulation modeling in biomedical engineering sciences
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chapter 35|15 pages

Synthetic models in biology

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chapter 36|14 pages

Modelling the deep past

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chapter 39|14 pages

How network models contribute to science

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chapter 40|12 pages

Models of the nerve impulse

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