Models, Simulations, and the Reduction of Complexity
eBook - PDF

Models, Simulations, and the Reduction of Complexity

  1. 282 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Models, Simulations, and the Reduction of Complexity

About this book

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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Yes, you can access Models, Simulations, and the Reduction of Complexity by Ulrich Gähde, Stephan Hartmann, Jörn Henning Wolf in PDF and/or ePUB format, as well as other popular books in Philosophy & Philosophy History & Theory. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2013
Print ISBN
9783110313604
eBook ISBN
9783110313680

Table of contents

  1. Preface
  2. Contributors
  3. Content
  4. Introduction
  5. Cosmology – The Largest Possible Model?
  6. The Standard Model of Cosmology as a Tool for Interpretation and Discovery
  7. Patterns in Physical and Biological Systems
  8. Symmetry and the Explanation of Organismal Form
  9. Pluralistic Modeling of Complex Systems
  10. The Methodological Challenges of Complex Systems
  11. Contested Modeling: The Case of Economics
  12. Models, Representation, and Economic Practice
  13. A Unifying Approach to High- and Low-Level Cognition
  14. High–vs Low–Level Cognition and the Neuro- Emulative Theory of Mental Representation
  15. Evaluating a Computational Model of Eye–Movement Control in Reading
  16. Considering Criteria for Model Modification and Theory Change in Psychology
  17. Identification of Kinetic Models by Incremental Refinement
  18. Kinetics, Models, and Mechanism
  19. Modeling Complexity: The Case of Climate Science
  20. Chaos, Plurality, and Model Metrics in Climate Science
  21. Subject Index
  22. Author Index