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Jean-François Sigrist’s first concern is not to affirm doctrinally the validity of contemporary scientific and technological knowledge and approaches. Is invoked, which legitimizes their dominant position and their relationship with rulers. From the first to the second, the darkness of routine and superstition It is clear that these three modes of approaching a hierarchical relationship between knowledge (scientific and technological) and people are based on the same presupposition: on the one hand there are “those who know” and on the other hand “the ignorant”. Some talk about them in order to dominate the “ignorant”, others argue against seizing this mode of knowledge and conceptual construction by claiming its abstraction from the lived world and the last would like to push the “backward” to become “intelligent” by teaching them what they should know, based on this too ordinary sharing of the organization of the social world. It is indeed with a mixture of cynicism and disbelief that many often react to statements about algorithms, for example, focusing media attention. In this case, while exploring the mysteries of mechanics, and consequently of scientific and technical knowledge, through the analysis of numerical simulation, the objective of Jean-François Sigrist, engineer and industrial researcher, is this: to rectify the mysteries created around the contributions of cutting-edge technological dynamics to contemporary research and to remind us that citizens have a certain power – that of the power of words that express choices – over scientists, experts and decision-makers. Rather than imposing on technology a symmetrically inverse role as a sign of history or a sign of despair, it would undoubtedly be more beneficial for everyone to understand that technology does not exist in itself, that it is a political choice and deserves to be collectively reflected upon. Technophiles and technophobes thus confront each other around the meaning to be given to technology in a sometimes dubious battle. įor a long time, technology has served as a reference point in order to legitimize the notion of progress. Are humans overwhelmed by machines? 4.5.1. Numerical Simulation, An Art of Prediction 1Ĭhapter 3. Construction of classical mechanical models. Putting the world into equations: example of mechanics 1.2.1. Understanding, designing, forecasting, optimizing. $SDUW IURP DQ\ IDLU GHDOLQJ IRU WKH SXUSRVHV RI UHVHDUFK RU SULYDWH VWXG\ RU FULWLFLVP RU UHYLHZ DV SHUPLWWHGXQGHUWKH&RS\ULJKW'HVLJQV=QG3DWHQWV$FWWKLVSXEOLFDWLRQPD\RQO\>HUHSURGXFHG VWRUHGRUWUDQVPLWWHGLQ=Q\IRUPRU>\=Q\PHDQVZLWKWKHSULRUSHUPLVVLRQLQZULWLQJRIWKHSXEOLVKHUV RU LQ WKH FDVH RI UHSURJUDSKLF UHSURGXFWLRQ LQ DFFRUGDQFH ZLWK WKH WHUPV DQG OLFHQVHV LVVXHG E\ WKH &/$ (QTXLULHV FRQFHUQLQJ UHSURGXFWLRQ RXWVLGH WKHVH WHUPV VKRXOG EH VHQW WR WKH SXEOLVKHUV DW WKH XQGHUPHQWLRQHG=GGUHVV ,67(/WG ̦W*HRUJH¶V5RDG /RQGRQ6:(8 8. 1XPHULFDO6LPXODWLRQ $Q$UWRI3UHGLFWLRQ