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Computer Simulations in Science and Technology Studies

Author: Petra Ahrweiler; Nigel Gilbert
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1998.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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 answers 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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Petra Ahrweiler; Nigel Gilbert
ISBN: 9783642582707 3642582702
OCLC Number: 851801228
Description: 1 online resource (ix, 245 pages)
Contents: Part I: Introducing simulation in social studies of science and technology --
Part II: Simulating the logic of discovery --
Part III: Evolutionary models of science and technology --
Part IV: Simulating conditions and dependencies of scientific work.
Responsibility: edited by Petra Ahrweiler, Nigel Gilbert.
More information:

Abstract:

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 answers 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 will be among the first to apply the tools of simulation systematically to a specific domain: science and technology studies. The first introductory section is followed by three application areas: simulations of scientific discovery and theory formation; evolutionary models of science and technology; and models which explore the conditions and dependencies of scientific work.

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