Models, simulations, and the reduction of complexity /
Models, simulations, and the reduction of complexity /
edited by Ulrich Gähde, Stephan Hartmann, and Jörn Henning Wolf.
- 1 online resource (viii, 274 pages .)
- Abhandlungen der Akademie der Wissenschaften in Hamburg ; Band 4 .
- Abhandlungen der Akademie der Wissenschaften in Hamburg ; Bd. 4. .
Includes bibliographical references and index.
Ï»¿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; 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 ReadingConsidering 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.
Modern science is 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? To address these questions which are highly relevant to scientists as well as to philosophers of science, 8 leading natural, engineering and social scientists reflect upon their modeling work, and 8 philosophers provide a commentary.
In English.
3110313685 9783110313680
10.1515/9783110313680 doi
1105098427 DE-101
Complexity (Philosophy)
Science--Philosophy.
SCIENCE--Philosophy & Social Aspects.
Complexity (Philosophy)
Science--Philosophy.
Electronic books.
Q175.32.C65 / M63 2013
501
Includes bibliographical references and index.
Ï»¿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; 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 ReadingConsidering 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.
Modern science is 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? To address these questions which are highly relevant to scientists as well as to philosophers of science, 8 leading natural, engineering and social scientists reflect upon their modeling work, and 8 philosophers provide a commentary.
In English.
3110313685 9783110313680
10.1515/9783110313680 doi
1105098427 DE-101
Complexity (Philosophy)
Science--Philosophy.
SCIENCE--Philosophy & Social Aspects.
Complexity (Philosophy)
Science--Philosophy.
Electronic books.
Q175.32.C65 / M63 2013
501