Dr. Gabriele Gramelsberger
FU Institute of Philosophy


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G.Gramelsberger (ed.): From Science to Computational Sciences, Zurich/Berlin 2011
Gabriele Gramelsberger (ed.): From Science to Computational Sciences. Studies in the History of Computing and its Influence on Today's Sciences, diaphanes: Zurich/Berlin 2011 / The University of Chicago Press 2015
In 1946 John von Neumann stated that science is stagnant along the entire front of complex problems, proposing the use of largescale computing machines to overcome this stagnation. In other words, Neumann advocated replacing analytical methods with numerical ones. The invention of the computer in the 1940s allowed scientists to realise numerical simulations of increasingly complex problems like weather forecasting, climate and molecular modelling. Today, computers are widely used as computational laboratories, shifting science toward the computational sciences. By replacing analytical methods with numerical ones, they have expanded theory and experimentation by simulation.

The volume gives a historical insight into the development of dynamical models and simulations.

2011, April, 234 pp.
ISBN 978-3-03734-093-6
diaphanes Zurich/Berlin
Series History of Science

2015, The University of Chicago Press
»UCP information (external link, english)


Content table
I. INTRODUCTION

Gabriele Gramelsberger
A Brief Introduction to the Volume - 11
From Science to Computational Sciences - A Science History and Philosophy Overview - 19


II. ORIGINS OF SIMULATION AND RATIONAL PROGNOSIS

Sybille Krämer
Roots and Media of Computational Power. Some Remarks on the Genesis and Genius of Quantification in Early European Modernity - 45

David Alan Grier
The Early Progress of Scientific Simulation - 57

Thomas Brandstetter
Mimetic Experiments before the Invention of the Computer - 65

Thomas Lange
Computer Simulation in the V2 Rocket Development - 85

Peter Galison
Computer Simulations and the Trading Zone - 97

Gabriele Gramelsberger
From Computation with Experiments to Experiments with Computation - 131


III. REVERSE ENGINEERING OF NATURE BY NUMBERS

David Alan Grier
Towards A Definition of Simulation - 145

Sergio Sismondo
Simulation as a New Style of Research: Iteration, Integration, and Instability - 151

Johannes Lenhard
Artificial, False, and Performing Well - 165

Erika Mansnerus
Explanatory and Predictive Functions of Simulation Modelling. Case: Haemophilus Influenzae type b Dynamic Transmission Models - 177

Renate Mayntz
Research Technology, the Computer and Scientific Advance - 195

Johann Feichter
The Earth System - 209

Peter Bexte
Uncertainty in Grammar / The Grammar of Uncertainty. Some Remarks on the Future Perfect - 219


IV. APPENDIX

Authors - 229