Buch, Englisch, 260 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 4219 g
ISBN: 978-94-007-9335-4
Verlag: Springer Netherlands
This book aims at bridging this gap. It proposes an abstract definition of information based on the engineers' experience which makes it usable in life sciences. It expounds information theory and error-correcting codes, its by-products, as simply as possible. Then, the fundamental biological problem of heredity is examined. It is shown that biology does not adequately account for the conservation of genomes during geological ages, which can be understood only if it is assumed that genomes are made resilient to casual errors by proper coding. Moreover, the good conservation of very old parts of genomes, like the HOX genes, implies that the assumed genomic codes have a nested structure which makes an information the more resilient to errors, the older it is.
The consequences that information theory draws from these hypotheses meet very basic but yet unexplained biological facts, e.g., the existence of successive generations, that of discrete species and the trend of evolution towards complexity. Being necessarily inscribed on physical media, information appears as a bridge between the abstract and the concrete. Recording, communicating and using information exclusively occur in the living world. Information is thus coextensive with life and delineates the border between the living and the inanimate.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Naturwissenschaften Biowissenschaften Biowissenschaften Evolutionsbiologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
Weitere Infos & Material
1. Introduction.- 2. What is information? 2.1 Information in a usual meaning. 2.2 Features of information as a scientific entity. 2.3 Comments on the definitions of information. 2.4 An information as a nominable entity. 2.5 Short history of communication engineering. 2.6 Communication over space or over time.- 3. Basic principles of communication engineering. 3.1 Physical inscription of a single symbol. 3.2 Physical inscription of a sequence. 3.3 Receiving a binary symbol in the presence of noise. 3.4 Communicating sequences in the presence of noise.- 4. Information theory for literal communication. 4.1 Shannon’s paradigm and its variants. 4.2 Quantitative measures of information. 4.3 Source coding.- 5. Channel capacity and channel coding. 5.1 Channel models. 5.2 Capacity of a channel. 5.3 Channel coding needs redundancy. 5.4 On the fundamental theorem of channel coding. 5.5 Error-correcting codes.- 6. Information as a fundamental entity. 6.1 Algorithmic information theory. 6.2 Emergent information in populations. 6.3 Physical entropy and information. 6.4 Information bridges the abstract and the concrete.- 7. An introduction to the second part. 7.1 Relationship with biosemiotics. 7.2 Content and spirit of the second part.- 8. Heredity as a communication problem. 8.1 The enduring genome. 8.2 Consequences meet biological reality. 8.3 A toy living world. 8.4 Identifying genomic error-correcting codes.- 9. Information is specific to life. 9.1 Information and life are indissolubly linked. 9.2 Semantic feedback loops. 9.3 Information as a fundamental entity. 9.4 Nature as an engineer.- 10. Life within the physical world. 10.1 A poorly understood divide. 10.2 Maxwell’s demon in physics and in life.- 10.3 A measurement as a means for acquiring information.- 11. Conclusion.