Topic
Applied science
About: Applied science is a research topic. Over the lifetime, 1178 publications have been published within this topic receiving 19920 citations. The topic is also known as: applied sciences.
Papers published on a yearly basis
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TL;DR: For example, if our perplexed adult passively accepts the &dquo;magic&dquoquo; of science floated to him by the ad man, the mad scientist&diquo; caricature emerging from the TV tube, or the many disjointed &dq;human interest&dqo; accounts of science laid before him in, the heavy barrage of anti-education from television, the daily newspaper and everyday talk predominates.
Abstract: ence that non-scientific people have had in school, the heavy barrage of anti-education from television, the daily newspaper, and everyday talk predominates. Yet if our perplexed adult passively accepts the &dquo;magic&dquo; of science floated to him by the ad man, the &dquo;mad scientist&dquo; caricature emerging from the TV tube, or the many disjointed &dquo;human interest&dquo; accounts of science laid before him in
3 citations
01 Jan 1975
TL;DR: A submitted manuscript is the version of the article upon submission and before peer-review as mentioned in this paper, while a published version is the final layout of the paper including the volume, issue and page numbers.
Abstract: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
3 citations
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3 citations
01 Jan 2003
TL;DR: It is shown that it is essential for students of Computer Science to not only acquire the concepts from Theory of Science within its conventional domain, but also widen the perspective and see the field in its context of other scientific traditions.
Abstract: An ideal Science for the existing Theory of Science (Popper, Carnap, Kuhn, Chalmers) is Physics. Not many modern Sciences conform to that ideal, however. Philosophy of Science (Theory of Science) as it is today is not of much help when trying to understand e.g. Computer Science. There is an urgent need to broaden the Theory of Science perspective in order to match the present situation within the area, as well as to help its further development. Computer Science has its basis in Logic and Mathematics, and in many cases its theoretical and experimental research methods follow patterns of classical scientific fields of Logic/Mathematics and Natural Sciences. On the other hand, computer modeling and simulation which is specific for the discipline and it is rapidly growing in importance, applied to computers, as well as to other scientific and artistic fields, hardly corresponds to traditional definition of scientific method. Situation gets even more complicated in the field of Intelligent Systems (Artificial Intelligence, AI). AI is generally associated with Computer Science, but it has many important links with other fields such as Mathematics, Psychology, Cognition, Biology, Behavioral and Brain Sciences, Linguistics and Philosophy, among others. This paper addresses the need for paradigm shift within Theory of Science. It shows that it is essential for students of Computer Science to not only acquire the concepts from Theory of Science within its conventional domain, but also widen the perspective and see the field in its context of other scientific traditions.
3 citations