Buch, Englisch, 269 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 429 g
From Shannon to Semantic Information Theory and General Concepts of Information
Buch, Englisch, 269 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 429 g
Reihe: Theoretical Computer Science and General Issues
ISBN: 978-3-642-00658-6
Verlag: Springer
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 were soon found to have important connotations with regard to statistical inference. Surely, statistical data and observation represent information, information about unknown, hidden para- ters. Thus a whole branch of statistics developed around concepts of Shannon’s information theory or derived from them. Also some proper measurements - propriate for statistics, like Fisher’s information, were proposed.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik Mathematik Mathematik Allgemein Grundlagen der Mathematik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
Weitere Infos & Material
Philosophical Reflections.- Philosophical Conceptions of Information.- The Syntactical Approach.- Information Theory, Relative Entropy and Statistics.- Information: The Algorithmic Paradigm.- The Semantical Approach.- Information Algebra.- Uncertain Information.- Comparing Questions and Answers: A Bit of Logic, a Bit of Language, and Some Bits of Information.- Channels: From Logic to Probability.- Beyond the Semantical Approach.- Modeling Real Reasoning.- Philosophical Conclusions.- One or Many Concepts of Information?.
