Computer Simulations in Science and Technology Studies

Ahrweiler, P. and N. Gilbert (eds.)

ISBN 10: 3540648712 / ISBN 13: 9783540648710

Edité par Berlin: Springer-Verlag, 1998, 1998

A propos de cet article

Hard bound, first edition, illustrated with 51 figures and 10 tables, 244pp includes references and index. As new. 475 grams. All books in stock and available for immediate shipment from Winnipeg, Manitoba.

N° de réf. du vendeur 23427

Détails bibliographiques

• Titre: Computer Simulations in Science and Technology Studies
• Éditeur: Berlin: Springer-Verlag, 1998
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 3540648712
• ISBN à 13 chiffres: 9783540648710
• Reliure: Couverture rigide
• Édition: Edition originale
• Catalogues du vendeur:
  • Computer Related

A propos de ce titre

Synopsis

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.