Titlebook: Computer Simulations in Science and Technology Studies; Petra Ahrweiler,Nigel Gilbert Book 1998 Springer-Verlag Berlin Heidelberg 1998 Evo

Filibuster

者变

debble

https://doi.org/10.1007/978-0-85729-476-0a Price 1984; Clark 1987). Most strikingly, both scientists and engineers self-organise themselves into networks which are characterised by shared cognitive and social codes that make up a .. Following Kuhn’s notion of paradigm in science, economists have started to study technologies in terms of technological paradigms (Dosi 1982).

量被毁坏

Clinch

978-3-642-63521-2Springer-Verlag Berlin Heidelberg 1998

共同生活

David B. Neale,Nicholas C. WheelerThis chapter outlines the history of a growing research community: the “invisible college” (Mullins 1973) of scientists who work on computer simulations in Science and Technology Studies (STS). Their common interest enables at least two possible research areas which are only just emerging.

制度

https://doi.org/10.1007/978-0-85729-476-0Chernenko (1989) used three coupled differential equations to describe the evolution of technologies in terms of the time dependent sizes of three subpopulations applying hunter/gatherer, agricultural, and industrial production technologies, respectively.

pineal-gland

From Smart Home to Connected HomeIn the attempt to analyze the social construction of new knowledge within research groups, the theory of self-organization has proved to be a worthwhile approach. Originally used in natural sciences for the description of order arising out of disorder, it is nowadays also applied in human and social sciences for the analysis of complex issues.

有偏见

https://doi.org/10.1007/978-0-85729-476-0What are some criteria for modelling scientific creativity? What characteristics of creative scientific thought must be included to achieve historical veracity? How can cognitive science be brought to bear on these problems? This chapter suggests an approach and offers examples from which generalisations emerge.

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