Models, simulations, and the reduction of complexity / / edited by Ulrich Gähde, Stephan Hartmann, and Jörn Henning Wolf.

• Superior document: Abhandlungen der Akademie der Wissenschaften in Hamburg, Band 4
• TeilnehmendeR: Gähde, Ulrich, 1951-; Hartmann, Stephan, 1968-; Wolf, Jörn Henning.
• Place / Publishing House: Berlin ;, Boston : : De Gruyter,, [2013]; ©2013
• Year of Publication: 2013
• Edition: 1st ed.
• Language: English
• Series: Abhandlungen der Akademie der Wissenschaften in Hamburg ; Bd. 4.
• Physical Description: 1 online resource (284 p.)
• Notes: Description based upon print version of record.
• Other title: 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
• Bibliography: Includes bibliographical references and indexes.
• ISBN: 3110313685
• ISSN: 2193-1933
• Hierarchical level: Monograph
• Statement of Responsibility: edited by Ulrich Gähde, Stephan Hartmann, and Jörn Henning Wolf.

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.