The Use of Information Theory in Biology: Lessons from Social Insects

Biological Theory 1 (3):317-330 (2006)
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Abstract

In this paper, I discuss how information theory has been used in the study of animal communication, as well as how these uses are justified. Biologists justify their use of Shannon’s information measures by the work they do in allowing for comparisons between different organisms and because they measure a quantity that is purported to be important for natural selection. I argue that there are problems with both sorts of justification. To make these difficulties clear, I focus on the use of Shannon’s information measures to quantify the amount of information transmitted by the fire ant’s odor trail and the honeybee’s waggle dance. Both of these systems are relatively simple and well understood, and the application of Shannon’s information measure to these systems initially seemed very promising and relatively straightforward. They are therefore particularly suitable for revealing the benefits and difficulties of applying Shannon’s information measures to biological systems in general, and animal communication systems in particular

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Jessica Pfeifer
University of Maryland, Baltimore County

Citations of this work

Biological information.Peter Godfrey-Smith & Kim Sterelny - 2012 - In Ed Zalta (ed.), Stanford Encyclopedia of Philosophy. Stanford, CA: Stanford Encyclopedia of Philosophy.
Consequences of a Functional Account of Information.Stephen Francis Mann - 2018 - Review of Philosophy and Psychology 11 (3):1-19.
On the 'transmission sense of information'.Ulrich E. Stegmann - 2013 - Biology and Philosophy 28 (1):141-144.

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References found in this work

Sociobiology: The New Synthesis.Edward O. Wilson - 1967 - Harvard University Press.
A Mathematical Theory of Communication.Claude Elwood Shannon - 1948 - Bell System Technical Journal 27 (April 1924):379–423.
Animal Signals: Information or Manipulation?Richard Dawkins & John R. Krebs - 1978 - In John R. Krebs & Nicholas B. Davies (eds.), Behavioural Ecology: An Evolutionary Approach. Blackwell Scientific. pp. 282–309.

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