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Introduction

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Information and Life
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Abstract

Chapter 1 expounds the aim of the book: defining information as a scientific entity and using it for explaining life phenomena. The science of communication engineering, Shannon’s information theory, is available to this end but must be somewhat extended, especially as regards the identification of the specific properties which can be used for defining information as a scientific entity. As a mathematical discipline, information theory can hopefully provide biology with a yet lacking theoretical basis. Communication engineering is only concerned with literal communication so information theory excludes semantics. The relation of semantics with information must thus be explicated.

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References

  • Battail, G. (1997). Does information theory explain biological evolution? Europhysics Letters, 40(3), 343–348.

    Article  CAS  Google Scholar 

  • Battail, G. (2001). Is biological evolution relevant to information theory and coding? Proceeding ISCTA ’01 (pp. 343–351). Ambleside, UK.

    Google Scholar 

  • Battail, G. (2004). An Engineer’s view on genetic information and biological evolution. BioSystems, 76, 279–290.

    Article  PubMed  CAS  Google Scholar 

  • Battail, G. (2005). Genetics as a communication process involving error-correcting codes. Journal of Biosemiotics, 1(1), 103–144.

    Google Scholar 

  • Battail, G. (2006a). Should genetics get an information-theoretic education? IEEE Engineering in Medicine and Biology Magazine, 25(1), 34–45.

    Article  Google Scholar 

  • Battail, G. (2006b). Error-correcting codes and genetics.tripleC (http://triplec.uti.at/), 4(2), 217–229.

    Google Scholar 

  • Battail, G. (2007a). Information theory and error-correcting codes in genetics and biological evolution. In M. Barbieri (Ed.), Introduction to Biosemiotics (pp. 299–345). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Battail, G. (2007b). Impact of information theory on the fundamentals of genetics. In G. Witzany (Ed.), Biosemiotics in Transdisciplinary Contexts. Helsinki: Umweb.

    Google Scholar 

  • Battail, G. (2008a). Genomic error-correcting codes in the living world. Biosemiotics, 1, 221–138. doi:10.1007/s12304-008-9019-z.

    Article  Google Scholar 

  • Battail, G. (2008b). Can we explain the faithful communication of genetic information?Advances in information recording. In P. H. Siegel, E. Soljanin, van Wijngaarden A. J. & B. Vasic (Eds.), DIMACS Series, No. 73, pp. 79–103.

    Google Scholar 

  • Battail, G. (2008c). An outline of informational genetics. San Rafael: Morgan & Claypool. doi:10.2200/S00151ED1V01Y200809BME023

    Google Scholar 

  • Battail, G. (2009a). Applying semiotics and information theory to biology: A critical comparison. Biosemiotics, 2(3), 303–320. doi:10.1007/s12304-009-9062-4.

    Article  Google Scholar 

  • Battail, G. (2009b). Living versus inanimate: The information border. Biosemiotics, 2(3), 321–341. doi:10.1007/s12304-009-9059-z.

    Article  Google Scholar 

  • Battail, G. (2010). Heredity as an encoded communication process. The IEEE Transactions on Information Theory, 56(2) 678–687. doi:10.1109/TIT.2009.2037044.

    Article  Google Scholar 

  • Battail, G. (2011). An answer to Schrödinger’s What is life? Biosemiotics, 4(1), 55–67. doi:10.1007/s12304-010-9102-0.

    Article  Google Scholar 

  • Battail, G. (2012). Biology needs information theory. Biosemiotics, 6(1), 77–103. doi:10.1007/ s12304-012-9152-6.

    Article  Google Scholar 

  • Brillouin, L. (1956), Science and Information Theory, New York: Academic Press.

    Google Scholar 

  • Favareau, D. (2010). Essential readings in biosemiotics. Dordrecht: Springer.

    Google Scholar 

  • Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27,  379–457, 623–656. (Reprinted in Shannon and Weaver 1949, Sloane and Wyner 1993, pp. 5–83 and in Slepain 1947, pp. 5–29).

    Google Scholar 

  • Shannon, C. E., & Weaver, W. (1949). The mathematical theory of communication. Urbana: University of Illinois Press.

    Google Scholar 

  • Slepian, D. (Ed.). (1974). Key papers in the development of Information Theory, IEEE Press.

    Google Scholar 

  • Sloane, N. J. A., & Wyner, A. D. (Eds.). (1993), Claude Elwood Shannon, Collected papers, IEEE Press.

    Google Scholar 

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Correspondence to Gérard Battail .

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Battail, G. (2014). Introduction. In: Information and Life. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7040-9_1

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