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Theory of information : fundamentality, diversity and unification /

This unique volume presents a new approach - the general theory of information - to scientific understanding of information phenomena. Based on a thorough analysis of information processes in nature, technology, and society, as well as on the main directions in information theory, this theory synthe...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Burgin, M. S. (Mark Semenovich)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hackensack, NJ : World Scientific Pub Co Inc., 2010.
Colección:World Scientific series in information studies ; v. 1.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction. 1.1. How do we know what information is? 1.2. Information in society. 1.3. Information in nature. 1.4. Technological aspects of information. 1.5. Structure of the book
  • 2. General theory of information. 2.1. Signs, symbols and the world. 2.2. What information is : information ontology. 2.3. How to measure information : information axiology. 2.4. Types and properties of information : information typology. 2.5. Information, data, and knowledge. 2.6. Emotions and information
  • 3. Statistical information theory. 3.1. Information and communication. 3.2. Information and entropy. 3.3. Quantum information. 3.4. Information and problem solving. 3.5. Axiomatization of information measurement. 3.6. Information in physics
  • 4. Semantic information theory. 4.1. Three dimensions of information. 4.2. Logical approach of Bar-Hillel and Carnap, Hintikka, and others : logic in information. 4.3. Knowledge-base approach of Mackay, Shreider, Brooks, Mizzaro, and others : knowledge from information
  • 5. Algorithmic information theory. 5.1. Information, algorithms, and complexity. 5.2. Algorithmic information theory based on recursive algorithms : recursive approach. 5.3. Algorithmic Information theory based on inductive algorithms : inductive approach. 5.4. Conditional information size as a relative information measure : relativistic approach. 5.5. Dual complexity and information measures : axiomatic approach in algorithmic information theory
  • 6. Pragmatic information theory. 6.1. Economic approach of Marschak : cost of information. 6.2. Mission-oriented approach : value, cost, and quality of information. 6.3. Transformational approach of Mazur : impetus of information
  • 7. Dynamics of information. 7.1. Information flow in the approach of Dretske, Barwise and Seligman : information process. 7.2. Operator approach of Chechkin : information action. 7.3. Information algebra and geometry
  • 8. Conclusion.