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Models, Simulations, and the Reduction of Complexity / ed. by Ulrich Gähde, Stephan Hartmann, Jörn Henning Wolf.

Contributor(s): Material type: TextTextLanguage: English Series: Abhandlungen der Akademie der Wissenschaften in Hamburg ; 4Publisher: Berlin ; Boston : De Gruyter, [2013]Copyright date: ©2014Description: 1 online resource (274 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783110313680
Subject(s): Additional physical formats: No titleDDC classification:
  • 501
LOC classification:
  • Q175.32.C65
Other classification:
  • CC 4400
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- Preface -- Contributors -- Content -- Introduction -- Cosmology - The Largest Possible Model? -- The Standard Model of Cosmology as a Tool for Interpretation and Discovery -- Patterns in Physical and Biological Systems -- Symmetry and the Explanation of Organismal Form -- Pluralistic Modeling of Complex Systems -- The Methodological Challenges of Complex Systems -- Contested Modeling: The Case of Economics -- Models, Representation, and Economic Practice -- A Unifying Approach to High- and Low-Level Cognition -- High- vs Low-Level Cognition and the Neuro- Emulative Theory of Mental Representation -- Evaluating a Computational Model of Eye-Movement Control in Reading -- Considering Criteria for Model Modification and Theory Change in Psychology -- Identification of Kinetic Models by Incremental Refinement -- Kinetics, Models, and Mechanism -- Modeling Complexity: The Case of Climate Science -- Chaos, Plurality, and Model Metrics in Climate Science -- Subject Index -- Author Index
Summary: Modern science is, to a large extent, a model-building activity. But how are models contructed? How are they related to theories and data? How do they explain complex scientific phenomena, and which role do computer simulations play here? These questions have kept philosophers of science busy for many years, and much work has been done to identify modeling as the central activity of theoretical science. At the same time, these questions have been addressed by methodologically-minded scientists, albeit from a different point of view. While philosophers typically have an eye on general aspects of scientific modeling, scientists typically take their own science as the starting point and are often more concerned with specific methodological problems. There is, however, also much common ground in middle, where philosophers and scientists can engage in a productive dialogue, as the present volume demonstrates. To do so, the editors of this volume have invited eight leading scientists from cosmology, climate science, social science, chemical engeneering and neuroscience to reflect upon their modeling work, and eight philosophers of science to provide a commentary.
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Frontmatter -- Preface -- Contributors -- Content -- Introduction -- Cosmology - The Largest Possible Model? -- The Standard Model of Cosmology as a Tool for Interpretation and Discovery -- Patterns in Physical and Biological Systems -- Symmetry and the Explanation of Organismal Form -- Pluralistic Modeling of Complex Systems -- The Methodological Challenges of Complex Systems -- Contested Modeling: The Case of Economics -- Models, Representation, and Economic Practice -- A Unifying Approach to High- and Low-Level Cognition -- High- vs Low-Level Cognition and the Neuro- Emulative Theory of Mental Representation -- Evaluating a Computational Model of Eye-Movement Control in Reading -- Considering Criteria for Model Modification and Theory Change in Psychology -- Identification of Kinetic Models by Incremental Refinement -- Kinetics, Models, and Mechanism -- Modeling Complexity: The Case of Climate Science -- Chaos, Plurality, and Model Metrics in Climate Science -- Subject Index -- Author Index

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https://purl.org/coar/access_right/c_abf2

Modern science is, to a large extent, a model-building activity. But how are models contructed? How are they related to theories and data? How do they explain complex scientific phenomena, and which role do computer simulations play here? These questions have kept philosophers of science busy for many years, and much work has been done to identify modeling as the central activity of theoretical science. At the same time, these questions have been addressed by methodologically-minded scientists, albeit from a different point of view. While philosophers typically have an eye on general aspects of scientific modeling, scientists typically take their own science as the starting point and are often more concerned with specific methodological problems. There is, however, also much common ground in middle, where philosophers and scientists can engage in a productive dialogue, as the present volume demonstrates. To do so, the editors of this volume have invited eight leading scientists from cosmology, climate science, social science, chemical engeneering and neuroscience to reflect upon their modeling work, and eight philosophers of science to provide a commentary.

Issued also in print.

Mode of access: Internet via World Wide Web.

This eBook is made available Open Access under a CC BY-NC-ND 4.0 license:

https://creativecommons.org/licenses/by-nc-nd/4.0

https://www.degruyter.com/dg/page/open-access-policy

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)

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