Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information (Lecture Notes in Computer Science, 5363)
Description:It is commonly assumed that computers process information. But what is information? In a technical, important, but nevertheless rather narrow sense, Shanon’s information theory gives a first answer to this question. This theory focuses on measuring the information content of a message. Essentially this measure is the reduction of the uncertainty obtained by receiving a message. The uncertainty of a situation of ignorance in turn is measured by entropy. This theory has had an immense impact on the technology of information storage, data compression, information transmission and coding and still is a very active domain of research. Shannon’s theory has also attracted much 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 favor, but still mostly based on or at least linked to Shannon’s theory. Approaches to semantic information theory also very often make use of formal logic. 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 parameters. 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information (Lecture Notes in Computer Science, 5363). To get started finding Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information (Lecture Notes in Computer Science, 5363), you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
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Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information (Lecture Notes in Computer Science, 5363)
Description: It is commonly assumed that computers process information. But what is information? In a technical, important, but nevertheless rather narrow sense, Shanon’s information theory gives a first answer to this question. This theory focuses on measuring the information content of a message. Essentially this measure is the reduction of the uncertainty obtained by receiving a message. The uncertainty of a situation of ignorance in turn is measured by entropy. This theory has had an immense impact on the technology of information storage, data compression, information transmission and coding and still is a very active domain of research. Shannon’s theory has also attracted much 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 favor, but still mostly based on or at least linked to Shannon’s theory. Approaches to semantic information theory also very often make use of formal logic. 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 parameters. 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information (Lecture Notes in Computer Science, 5363). To get started finding Formal Theories of Information: From Shannon to Semantic Information Theory and General Concepts of Information (Lecture Notes in Computer Science, 5363), you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.