Models, Simulations, and the Reduction of Complexity

book: Models, Simulations, and the Reduction of Complexity

Open Access Published by De Gruyter 2014

Models, Simulations, and the Reduction of Complexity

Edited by: Ulrich Gähde , Stephan Hartmann and Jörn Henning Wolf

Volume 4 in the series Abhandlungen der Akademie der Wissenschaften in Hamburg

https://doi.org/10.1515/9783110313680

Overview
Contents

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.

Author / Editor information

U. Gähde and J. H. Wolf, University of Hamburg; S. Hartmann, Ludwig-Maximilians-Universität Munich.

Supplementary Materials

Contents

Topics

Frontmatter Open Access Download PDF	i
Preface Open Access Download PDF	v
Contributors Open Access Download PDF	vi
Content Open Access Download PDF	vii
Introduction Ulrich Gähde and Stephan Hartmann Open Access Download PDF	1
Cosmology – The Largest Possible Model? Matthias Bartelmann Open Access Download PDF	9
The Standard Model of Cosmology as a Tool for Interpretation and Discovery Andreas Bartels Open Access Download PDF	23
Patterns in Physical and Biological Systems Martin Golubitsky Open Access Download PDF	29
Symmetry and the Explanation of Organismal Form Thomas A. C. Reydon Open Access Download PDF	43
Pluralistic Modeling of Complex Systems Dirk Helbing Open Access Download PDF	53
The Methodological Challenges of Complex Systems Stephan Hartmann Open Access Download PDF	81
Contested Modeling: The Case of Economics Uskali Mäki Open Access Download PDF	87
Models, Representation, and Economic Practice Julian Reiss Open Access Download PDF	107
A Unifying Approach to High- and Low-Level Cognition Peter König, Kai-Uwe Kühnberger and Tim C. Kietzmann Open Access Download PDF	117
High- vs Low-Level Cognition and the Neuro- Emulative Theory of Mental Representation Markus Werning, Michela C. Tacca and Aleksandra Mroczko-Wąsowicz Open Access Download PDF	141
Evaluating a Computational Model of Eye-Movement Control in Reading Reinhold Kliegl and Ralf Engbert Open Access Download PDF	153
Considering Criteria for Model Modification and Theory Change in Psychology Martin Hoffmann Open Access Download PDF	179
Identification of Kinetic Models by Incremental Refinement Wolfgang Marquardt Open Access Download PDF	187
Kinetics, Models, and Mechanism Robin Findlay Hendry Open Access Download PDF	221
Modeling Complexity: The Case of Climate Science Valerio Lucarini Open Access Download PDF	229
Chaos, Plurality, and Model Metrics in Climate Science Gregor Betz Open Access Download PDF	255
Subject Index Open Access Download PDF	265
Author Index Open Access Download PDF	269

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Institutes, Libraries, Scholars
Pages
- Front matter: 8
- Main content: 274
Keywords: Science; methods; methodology

eBook

Published: November 27, 2013
ISBN: 9783110313680

Hardcover

Published: November 15, 2013
ISBN: 9783110313604