Titlebook: Artifical Intelligence, Culture and Language: On Education and Work; Bo G?ranzon (Mathematician and Researcher),Magnus Book 1990 Springer

失誤

Do Intrapreneurs Learn by Doing?s that the critics fail to pay attention to the practical case studies that have been done in relation to this concept, and its importance for considering the design of new technologies. There is also a criticism, of those defenders who suggest that tacit knowledge is a vague concept, i.e. that it i

蒙太奇

Martin Lackéus,Karen Williams Middletonn a discussion of this claim, two different theses are distinguished: a weak thesis that many of our actions depend on tacit knowledge difficult to make explicit, and a strong thesis that all our knowledge has an ingredient of implicit knowledge which is not only difficult but, in principle, impossi

languid

Martin Lackéus,Karen Williams Middletonre the limits of the transfer of human ability to the machine, and (2) what are the crucial differences between the human mind and increasingly sophisticated data-processing machines? The chapter traces the philosophical discourse in the West, from the time of Aristotle to the modern day, on the nat

濕潤(rùn)

g the knowledge and skills of the nursing profession. Florence Nightingale argued that it is apprenticeship and practice, not words, that make someone into a nurse. Why is it then that nursing knowledge is thought by some to be able to be acquired by theoretical study alone? If it is, then it is sus

falsehood

HAVOC

間接

engineering is an art. Its true development can flourish only near the point of application. Advances in engineering are not made in scholarly papers but by those practitioners who are immersed in complex day-to-day problems of engineering practice.

CRAFT

同步左右

Learning at Disney: Myth or Magic?ndamental idea that the farmers need both interpretation and application skills. What the study showed is that small-business managers (and farm management) apply “adaptive rationality” in decision-making, not the “formal rationality” on which researchers normally focus. It is accepted that computer

Tincture

Learning at Disney: Myth or Magic?early defined,such as in administration, but are not so successful in complex human areas such as social security and general medical diagnosis. Such problems of human complexity apply also to the use of data systems by designers in industry solving materials problems. One of the probems is that of