Computer Simulations


Computer Simulations pdf

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Computer Simulations in Science and Engineering


Computer Simulations in Science and Engineering

Author: Juan Manuel Durán

language: en

Publisher: Springer

Release Date: 2018-09-20


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This book addresses key conceptual issues relating to the modern scientific and engineering use of computer simulations. It analyses a broad set of questions, from the nature of computer simulations to their epistemological power, including the many scientific, social and ethics implications of using computer simulations. The book is written in an easily accessible narrative, one that weaves together philosophical questions and scientific technicalities. It will thus appeal equally to all academic scientists, engineers, and researchers in industry interested in questions (and conceivable answers) related to the general practice of computer simulations.

Computer Simulations and the Changing Face of Scientific Experimentation


Computer Simulations and the Changing Face of Scientific Experimentation

Author: Eckhart Arnold

language: en

Publisher: Cambridge Scholars Publishing

Release Date: 2013-07-16


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Computer simulations have become a central tool for scientific practice. Their use has replaced, in many cases, standard experimental procedures. This goes without mentioning cases where the target system is empirical but there are no techniques for direct manipulation of the system, such as astronomical observation. To these cases, computer simulations have proved to be of central importance. The question about their use and implementation, therefore, is not only a technical one but represents a challenge for the humanities as well. In this volume, scientists, historians, and philosophers join to examine computer simulations in scientific practice. One central aim of the volume is to provide a multi-perspective view on the topic. Therefore, the text includes philosophical studies on computer simulations, as well as case studies from simulation practice, and historical studies of the evolution of simulations as a research method. The theoretical studies in this book discuss the epistemological relation between simulations and experiments as well as the empirical or non-empirical status of data resulting from computer simulations. The role of simulations in current scientific practice is examined in the cases of astronomy, system biology, nanoscale research, and in the pharmaceutical industry. The historical perspective is brought in by examining the rise of supercomputing as well as the exploding number of published simulation studies in some scientific fields. The book concludes with critical reflections on the potential, limitations, and failures of computer simulations.

Computer Simulations in Science and Technology Studies


Computer Simulations in Science and Technology Studies

Author: Petra Ahrweiler

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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What is it about the structure and organisation of science and technology that has led to the spectacularly successful growth of knowledge during this century? This book explores this important and much debated question in an innovative way, by using computer simulations. The computer simulation of societies and social processes is a methodology which is rapidly becoming recognised for its potential in the social sciences. This book applies the tools of simulation systematically to a specific domain: science and technology studies. The book shows how computer simulation can be applied both to questions in the history and philosophy of science and to issues of concern to sociologists of science and technology. Chapters in the book demonstrate the use of simulation for clarifying the notion of creativity and for understanding the logical processes employed by eminent scientists to make their discoveries. The book begins with three introductory chapters. The first introduces simulation for the social sciences, surveying current work and explaining the advantages and pitfalls of this new methodology. The second and third chapters review recent work on theoretical aspects of social simulation, introducing fundamental concepts such as self organisation and complexity and relating these to the simulation of scientific discovery.