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Theory of information [[electronic resource] ] : fundamentality, diversity and unification / / Mark Burgin
| Theory of information [[electronic resource] ] : fundamentality, diversity and unification / / Mark Burgin |
| Autore | Burgin Mark |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, 2010 |
| Descrizione fisica | 1 online resource (689 p.) |
| Disciplina | 003/.54 |
| Collana | World Scientific series in information studies |
| Soggetto topico | Information theory |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-76050-5
9786612760501 981-283-549-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Acknowledgments; 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 Entropy3.3 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 Approach5.4 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 Process7.2 Operator Approach of Chechkin: Information Action; 7.3 Information Algebra and Geometry; 7.3.1 Interpreted Information Algebra; 7.3.2 Abstract Information Algebra; 7.3.3 Information Geometry; 8. Conclusion; Appendix: Mathematical Foundations of Information Theory; Appendix A: Set Theoretical Foundations; Appendix B: Elements of the Theory of Algorithms; Appendix C: Elements of Logic; Appendix D: Elements of Algebra and Category Theory; Appendix E: Elements of Probability Theory Appendix F: Numbers and Numerical FunctionsAppendix G: Topological, Metric and Normed Spaces; Bibliography; Subject Index |
| Record Nr. | UNINA-9910456107903321 |
Burgin Mark
|
||
| Hackensack, N.J., : World Scientific, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Theory of information [[electronic resource] ] : fundamentality, diversity and unification / / Mark Burgin
| Theory of information [[electronic resource] ] : fundamentality, diversity and unification / / Mark Burgin |
| Autore | Burgin Mark |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, 2010 |
| Descrizione fisica | 1 online resource (689 p.) |
| Disciplina | 003/.54 |
| Collana | World Scientific series in information studies |
| Soggetto topico | Information theory |
| ISBN |
1-282-76050-5
9786612760501 981-283-549-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Acknowledgments; 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 Entropy3.3 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 Approach5.4 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 Process7.2 Operator Approach of Chechkin: Information Action; 7.3 Information Algebra and Geometry; 7.3.1 Interpreted Information Algebra; 7.3.2 Abstract Information Algebra; 7.3.3 Information Geometry; 8. Conclusion; Appendix: Mathematical Foundations of Information Theory; Appendix A: Set Theoretical Foundations; Appendix B: Elements of the Theory of Algorithms; Appendix C: Elements of Logic; Appendix D: Elements of Algebra and Category Theory; Appendix E: Elements of Probability Theory Appendix F: Numbers and Numerical FunctionsAppendix G: Topological, Metric and Normed Spaces; Bibliography; Subject Index |
| Record Nr. | UNINA-9910780891003321 |
|
Burgin Mark
|
||
| Hackensack, N.J., : World Scientific, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Theory of information : fundamentality, diversity and unification / / Mark Burgin
| Theory of information : fundamentality, diversity and unification / / Mark Burgin |
| Autore | Burgin Mark |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, 2010 |
| Descrizione fisica | 1 online resource (689 p.) |
| Disciplina | 003/.54 |
| Collana | World Scientific series in information studies |
| Soggetto topico | Information theory |
| ISBN |
1-282-76050-5
9786612760501 981-283-549-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Acknowledgments; 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 Entropy3.3 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 Approach5.4 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 Process7.2 Operator Approach of Chechkin: Information Action; 7.3 Information Algebra and Geometry; 7.3.1 Interpreted Information Algebra; 7.3.2 Abstract Information Algebra; 7.3.3 Information Geometry; 8. Conclusion; Appendix: Mathematical Foundations of Information Theory; Appendix A: Set Theoretical Foundations; Appendix B: Elements of the Theory of Algorithms; Appendix C: Elements of Logic; Appendix D: Elements of Algebra and Category Theory; Appendix E: Elements of Probability Theory Appendix F: Numbers and Numerical FunctionsAppendix G: Topological, Metric and Normed Spaces; Bibliography; Subject Index |
| Record Nr. | UNINA-9910825596903321 |
|
Burgin Mark
|
||
| Hackensack, N.J., : World Scientific, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||