| 書目名稱 | Formal Theories of Information | | 副標(biāo)題 | From Shannon to Sema | | 編輯 | Giovanni Sommaruga | | 視頻video | http://file.papertrans.cn/346/345951/345951.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | It is commonly assumed that computers process information. But what is inf- mation? In a technical, important, but nevertheless rather narrow sense, Sh- non’sinformationtheorygivesa?rstanswertothisquestion.Thistheoryfocuses on measuring the information content of a message. Essentially this measure is the reduction of the uncertainty obtained by receiving a message. The unc- tainty of a situation of ignorance in turn is measured by entropy. This theory hashad an immense impact on the technologyof information storage,data c- pression, information transmission and coding and still is a very active domain of research. Shannon’s theory has also attractedmuch interest in a more philosophic look at information, although it was readily remarked that it is only a “syntactic” theory of information and neglects “semantic” issues. Several attempts have been made in philosophy to give information theory a semantic ?avor, but still mostly based on or at least linked to Shannon’s theory. Approaches to semantic informationtheoryalsoveryoftenmakeuseofformallogic.Thereby,information is linked to reasoning, deduction and inference, as well as to decision making. Further, entropy and related measure | | 出版日期 | Book 2009 | | 關(guān)鍵詞 | Algebra; Information; algorithmic dephts; boolean algebra; chaitin; entropy; g?del; information theory; kolm | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-00659-3 | | isbn_softcover | 978-3-642-00658-6 | | isbn_ebook | 978-3-642-00659-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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