The Science And Art Of Simulation I

Author : Michael M. Resch
Publisher : Springer
ISBN 13 : 3319557629
Total Pages : 192 pages
Book Rating : 4.25/5 ( download)

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Download or read book The Science and Art of Simulation I written by Michael M. Resch and published by Springer. This book was released on 2017-04-07 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new book series “The Science and Art of Simulation” (SAS) addresses computer simulations as a scientific activity and engineering artistry (in the sense of a technē). The first volume is devoted to three topics: 1. The Art of Exploring Computer Simulations Philosophy began devoting attention to computer simulations at a relatively early stage. Since then, the unquestioned point of view has been that computer simulation is a new scientific method; the philosophy of simulation is therefore part of the philosophy of science. The first section of this volume discusses this implicit, unchallenged assumption by addressing, from different perspectives, the question of how to explore (and how not to explore) research on computer simulations. Scientists discuss what is still lacking or considered problematic, while philosophers draft new directions for research, and both examine the art of exploring computer simulations. 2. The Art of Understanding Computer Simulations The results of computer simulations are integrated into both political and social decisions. It is implicitly assumed that the more detailed, and consequently more realistic, a computer simulation is, the more useful it will be in decision-making. However, this idea is by no means justified. Different types of computer simulations have to be differentiated, which in turn requires the specific skill of understanding computer simulation results. The articles in this section examine the capabilities and limits of simulation results in political and social contexts, exploring the art of understanding computer simulation results. 3. The Art of Knowing through Computer Simulations? The advent of computer simulation in today’s scientific practices challenges the order of science. What kind of knowledge is gained through computer simulations is the key question in this section. Computer simulations are often compared to experiments or to arguments, and the transformation of our traditional scientific notions might be more challenging than expected – these Ideas are put forward in the third section to conceptualize the art of knowing through computer simulations.

Author : Robert E. Shannon
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 412 pages
Book Rating : 4.74/5 ( download)

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Download or read book Systems Simulation written by Robert E. Shannon and published by Prentice Hall. This book was released on 1975 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of modeling. Systems investigation.

Author : Eric Winsberg
Publisher : University of Chicago Press
ISBN 13 : 0226902056
Total Pages : 168 pages
Book Rating : 4.50/5 ( download)

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Download or read book Science in the Age of Computer Simulation written by Eric Winsberg and published by University of Chicago Press. This book was released on 2010-10-15 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer simulation was first pioneered as a scientific tool in meteorology and nuclear physics in the period following World War II, but it has grown rapidly to become indispensible in a wide variety of scientific disciplines, including astrophysics, high-energy physics, climate science, engineering, ecology, and economics. Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Eric Winsberg seeks to answer these questions in Science in the Age of Computer Simulation. Scrutinizing these issue with a philosophical lens, Winsberg explores the impact of simulation on such issues as the nature of scientific evidence; the role of values in science; the nature and role of fictions in science; and the relationship between simulation and experiment, theories and data, and theories at different levels of description. Science in the Age of Computer Simulation will transform many of the core issues in philosophy of science, as well as our basic understanding of the role of the digital computer in the sciences.

Author : Rosaria Conte
Publisher :
ISBN 13 : 9783662033678
Total Pages : 550 pages
Book Rating : 4.74/5 ( download)

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Download or read book Simulating Social Phenomena written by Rosaria Conte and published by . This book was released on 2014-01-15 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Wallace Feurzeig
Publisher : Springer Science & Business Media
ISBN 13 : 1461214149
Total Pages : 352 pages
Book Rating : 4.44/5 ( download)

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Download or read book Modeling and Simulation in Science and Mathematics Education written by Wallace Feurzeig and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book/software package brings the tools and excitement of modeling to pre-college teachers, to researchers involved in curriculum development, and to software developers interested in the pre-college market.

Author : John Casti
Publisher : Perseus Books Group
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.85/5 ( download)

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Download or read book Would-Be Worlds written by John Casti and published by Perseus Books Group. This book was released on 1997 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a new breed of computer simulations, known as 'artificial worlds' or 'would-be worlds', that allows scientists to create artificial versions of real-life phenomena inside their computers. Casti explores how these are being used.

Author : Angela B. Shiflet
Publisher : Princeton University Press
ISBN 13 : 140085055X
Total Pages : 857 pages
Book Rating : 4.56/5 ( download)

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Download or read book Introduction to Computational Science written by Angela B. Shiflet and published by Princeton University Press. This book was released on 2014-03-30 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Author : Stanislaw Raczynski
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.62/5 ( download)

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Download or read book Modeling and Simulation written by Stanislaw Raczynski and published by John Wiley & Sons. This book was released on 2006-07-11 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text outlines the considerable and promising research that is being conducted to counter the problems of uncertainty surrounding the methods used to approach these new applications in the field of modelling and simulation.

Author : Michael Weisberg
Publisher : OUP USA
ISBN 13 : 0199933669
Total Pages : 211 pages
Book Rating : 4.62/5 ( download)

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Download or read book Simulation and Similarity written by Michael Weisberg and published by OUP USA. This book was released on 2013-02-14 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an account of modeling and idealization in modern scientific practice, focusing on concrete, mathematical, and computational models. The main topics of this book are the nature of models, the practice of modeling, and the nature of the relationship between models and real-world phenomena. In order to elucidate the model/world relationship, Weisberg develops a novel account of similarity called weighted feature matching.

Author : Inga Bones
Publisher : GRIN Verlag
ISBN 13 : 3640602684
Total Pages : 25 pages
Book Rating : 4.81/5 ( download)

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Download or read book Simulating Science? written by Inga Bones and published by GRIN Verlag. This book was released on 2010-04-23 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2010 in the subject Philosophy - Theoretical (Realisation, Science, Logic, Language), grade: 1,0, University of Stuttgart (Institut für Philosophie/Wissenschaftstheorie/Technikphilosophie), course: HS Philosophy of Simulation, language: English, abstract: In the early 1980s, Robert Axelrod published several articles on The Evolution of Cooperation, discussing and interpreting the results of his well-known computer tournaments and of a series of subsequent simulations. Both the tournaments and simulations were conducted in order to find a suitable, evolutionary stable strategy for the iterated prisoner's dilemma, which is generally considered an appropriate model of a certain type of social dilemma that arises when "the pursuit of self-interest by each leads to a poor outcome for all." The results of the tournaments and simulations led to a generalized theory of the evolution of cooperation, which claims to provide an explanation for various historical, social and biological phenomena. Axelrod`s work contributed extensively to popularizing computer simulation as a scientific method in the social sciences. Besides the fact that his approach had an unquestionably high impact on succeeding research and ushered in the "simulation era" in the social sciences, the use Axelrod made of computer simulations raises questions about their methodological and epistemological status: If, as Axelrod states in his paper "Advancing the Art of Simulation in the Social Sciences", simulation can serve the purposes of prediction, proof and even scientific discovery, what need is there for conducting experiments any longer? Can't we simulate science? Admittedly, this suggestion sounds somewhat exaggerated, but why exactly do most of us share the intuition that there are fundamental differences persisting between simulations and experiments? What are the characteristic features distinguishing them? Do computer simulations in general - and Axelrod's tournaments in particular - resemble experiments insofar as their potential to provide us with surprising results that permit further theorizing is concerned? Or are they nothing else than mere "number-crunching techniques", using brute-force computational means in order to generate data from theoretical knowledge and assumptions already built into the underlying model? The question where to draw the conceptual line between simulation and experiment has turned out to be of great interest to philosophy of science, not least since the categorization might be relevant to the way the results are assessed and used. The objective of this paper is to elaborate on the distinctive characteristics of simulations in contrast to experiments.