Computer Simulation: The Cooperation between Experimenting and Modeling*

The goal of the present article is to contribute to the epistemology and methodology of computer simulations. The central thesis is that the process of simulation modeling takes the form of an explorative cooperation between experimenting and modeling. This characteristic mode of modeling turns simulations into autonomous mediators in a specific way; namely, it makes it possible for the phenomena and the data to exert a direct influence on the model. The argumentation will be illustrated by a case study of the general circulation models of meteorology, the major simulation models in climate research.

[1]  A. Arakawa Computational design for long-term numerical integration of the equations of fluid motion: two-dimen , 1997 .

[2]  David A. Randall General circulation model development , 2000 .

[3]  D. Dowling Experimenting on Theories , 1999, Science in Context.

[4]  Roman Frigg,et al.  Models in physics , 2008 .

[5]  John M. Lewis,et al.  Clarifying the Dynamics of the General Circulation: Phillips's 1956 Experiment , 1998 .

[6]  Hans Radder,et al.  The Philosophy Of Scientific Experimentation , 2003 .

[7]  Norman A. Phillips,et al.  The general circulation of the atmosphere: A numerical experiment , 1956 .

[8]  G. Watson,et al.  Computer simulation , 1988 .

[9]  S. M. Hurtley,et al.  Exploiting Errors , 2000, Science.

[10]  Matthias Wächter,et al.  Complex Systems, Modelling and Simulation , 2000 .

[11]  Akio Arakawa,et al.  Chapter 1 - A Personal Perspective on the Early Years of General Circulation Modeling at UCLA , 2000 .

[12]  Daniel L. Klassen,et al.  Computer simulations , 1975, ACM '75.

[13]  A. Defant,et al.  Book Review: The atmosphere and the sea in motion. Scientific contributions to the Rossby Memorial Volume, (edited by BERT BOLIN, Stockholm University), Rockefeller Inst. Press, New York, in association with Oxford University Press, 1959. 509 Sieten mit vielen Abbildungen , 1960 .

[14]  Eric Winsberg,et al.  Simulated Experiments: Methodology for a Virtual World , 2003, Philosophy of Science.

[15]  Harvey Gould,et al.  Computer simulations , 1990 .

[16]  Stephen John Norton,et al.  Why Atmospheric Modeling is Good Science , 2000 .

[17]  Margaret Morrison,et al.  Models as Mediators: Perspectives on Natural and Social Science , 1999 .

[18]  Mary S. Morgan,et al.  Experiments without material intervention: Model experiments, virtual experiments and virtually experiments , 2000 .

[19]  Paul Humphreys,et al.  Extending Ourselves: Computational Science, Empiricism, and Scientific Method , 2004 .

[20]  A. Wiin-Nielsen The birth of numerical weather prediction , 1991 .

[21]  Stephan Hartmann,et al.  The World as a Process: Simulations in the Natural and Social Sciences , 1996 .

[22]  Edward N. Lorenz,et al.  The nature and theory of the general circulation of the atmosphere , 1967 .

[23]  Fritz Rohrlich,et al.  Computer Simulation in the Physical Sciences , 1990, PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association.

[24]  Margaret Morrison,et al.  Models as Mediators: Models as autonomous agents , 1999 .

[25]  David J. Stump,et al.  The Disunity of Science: Boundaries, Contexts, and Power , 1998 .

[26]  Richard L. Pfeffer Dynamics of climate : the proceedings of a Conference on the Application of Numerical Integration Techniques to the Problem of the General Circulation, held October 26-28, 1955 , 1960 .

[27]  R. Hughes Models as Mediators: The Ising model, computer simulation, and universal physics , 1999 .

[28]  Johannes Lenhard,et al.  Computersimulationen: Modellierungen zweiter Ordnung , 2005 .

[29]  Alexander R. Bednarek,et al.  Analogies Between Analogies: The Mathematical Reports of S.M. Ulam and his Los Alamos Collaborators , 1990 .

[30]  Trevor Pinch,et al.  The Uses of Experiment , 1992 .

[31]  T A Bereman,et al.  The General Circulation of the Atmosphere , 1892, Nature.

[32]  Amy Dahan Dalmedico,et al.  History and Epistemology of Models: Meteorology (1946–1963) as a Case Study , 2001 .

[33]  A. Rollett,et al.  The Monte Carlo Method , 2004 .

[34]  N Oreskes,et al.  Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences , 1994, Science.

[35]  Ray J. Paul,et al.  Computer Simulation and Modelling , 1987 .

[36]  Eric Winsberg,et al.  Sanctioning Models: The Epistemology of Simulation , 1999, Science in Context.

[37]  Klaus G. Troitzsch,et al.  Modelling and simulation in the social sciences from the philosophy of science point of view , 1996 .