Change search
ReferencesLink to record
Permanent link

Direct link
The transmission sense of information
Department of Biology, University of Washington.
Department of Biology, University of Washington.
2011 (English)In: Biology & Philosophy, ISSN 0169-3867, E-ISSN 1572-8404, Vol. 26, no 2, 159-176 p.Article in journal (Refereed) Published
Abstract [en]

Biologists rely heavily on the language of information, coding, and transmission that is commonplace in the field of information theory developed by Claude Shannon, but there is open debate about whether such language is anything more than facile metaphor. Philosophers of biology have argued that when biologists talk about information in genes and in evolution, they are not talking about the sort of information that Shannon’s theory addresses. First, philosophers have suggested that Shannon’s theory is only useful for developing a shallow notion of correlation, the so-called “causal sense” of information. Second, they typically argue that in genetics and evolutionary biology, information language is used in a “semantic sense,” whereas semantics are deliberately omitted from Shannon’s theory. Neither critique is well-founded. Here we propose an alternative to the causal and semantic senses of information: atransmission sense of information, in which an object X conveys information if the function of X is to reduce, by virtue of its sequence properties, uncertainty on the part of an agent who observes X. The transmission sense not only captures much of what biologists intend when they talk about information in genes, but also brings Shannon’s theory back to the fore. By taking the viewpoint of a communications engineer and focusing on the decision problem of how information is to be packaged for transport, this approach resolves several problems that have plagued the information concept in biology, and highlights a number of important features of the way that information is encoded, stored, and transmitted as genetic sequence.

Place, publisher, year, edition, pages
Springer , 2011. Vol. 26, no 2, 159-176 p.
Keyword [en]
information, evolution, shannon theory, natural selection
National Category
Physical Sciences
URN: urn:nbn:se:umu:diva-43788DOI: 10.1007/s10539-009-9180-zOAI: diva2:415950
Available from: 2011-05-09 Created: 2011-05-09 Last updated: 2011-09-30Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Rosvall, Martin
In the same journal
Biology & Philosophy
Physical Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 30 hits
ReferencesLink to record
Permanent link

Direct link