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Applying Semiotics and Information Theory to Biology: A Critical Comparison

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Abstract

Since the beginning of the XX-th century, it became increasingly evident that information, besides matter and energy, is a major actor in the life processes. Moreover, communication of information has been recognized as differentiating living things from inanimate ones, hence as specific to the life processes. Therefore the sciences of matter and energy, chemistry and physics, do not suffice to deal with life processes. Biology should also rely on sciences of information. A majority of biologists, however, did not change their mind and continued to describe life in terms of chemistry and physics. They merely borrowed some vocabulary from the information sciences. The first science of information available to biological applications, semiotics, appeared at the end of the XIX-th century. It is a qualitative and descriptive science which stemmed from efforts of linguists and philosophers to understand the human language and is thus mainly concerned with semantics. Applying semiotics to biology resulted in today’s Biosemiotics. Independently, an explosive expansion of communication engineering began in the second half of the XX-th century. Besides tremendous progresses in hardware technology, it was made possible by the onset of a science of literal communication: Information Theory (Shannon, Bell Syst Tech J 27:379–457, 623–656, 1948). Literal communication consists of faithfully transporting a message from a place to another, or from an instant to another. Because the meaning of a message does not matter for its transportation, information theory ignores semantics. This restriction enables defining information as a measurable quantity on which a mathematical theory of communication is founded. Although lacking implementation means at its beginning, information theory became later very successful for designing communication means. Modern ones, like mobile phones, can be thought of as experimentally proving the relevance and accuracy of information theory since their design and operation heavily rely on it. Information theory is plainly relevant to biological functions which involve literal communication, especially heredity. This paper is intended to compare the two approaches. It shows that, besides obvious differences, they have some points in common: for instance, the quantitative measurement of information obeys Peirce’s triadic paradigm. They also can mutually enlighten each other. Using information theory, which is closer to the basic communication mechanisms, may appear as a preliminary step prior to more elaborated investigations. Criticizing genetics from outside, information theory furthermore reveals that the ability of the template-replication paradigm to faithfully conserve genomes is but a prejudice. Heredity actually demands error-correcting means which impose severe constraints to the living world and must be recognized as biological facts.

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Notes

  1. We systematically use the acronym ‘bit’ to designate a binary digit and the word ‘shannon’, abbreviated as ‘Sh’, for the binary unit of information, originally named ‘bit’ by Shannon.

  2. Philip Henry Gosse (1816,1888) even attributed this intent to God in his book Omphalos, published in 1857, aimed at conciliating the data of geology with the Biblical account of creation.

  3. In the phrase ‘genetic code’ which appeared in the sixties, the word ‘code’ has been given a meaning rather foreign to its earlier use in information theory, that of a correspondence rule between objects of different nature, i.e., nucleotides and amino-acids.

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Correspondence to Gérard Battail.

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Parts of this material have been presented at the 8-th Biosemiotics Gathering, 23–28 June 2008, Syros, Greece. Submitted to Biosemiotics.

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Battail, G. Applying Semiotics and Information Theory to Biology: A Critical Comparison. Biosemiotics (2009). https://doi.org/10.1007/s12304-008-9034-0

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