NDLI: Shannon information and biological fitness

Content Provider	IEEE Xplore Digital Library
Author	Bergstrom, C.T. Lachmann, M.
Copyright Year	2004
Description	Author affiliation: Dept. of Biol., Univ. of Washington, Seattle, WA, USA (Bergstrom, C.T.)
Abstract	When studying information, biologists and behavioral scientists often eschew Shannon entropy. Instead, they commonly use a decision-theoretic measure of the value of information, on the grounds that Shannon's measure draws no distinction between useful and useless information. Here we show that these two measures are intimately related in the context of biological evolution. We present a simple model of evolution in an uncertain environment, and calculate the increase in Darwinian fitness that is made possible by information about the environmental state. This fitness increase - the fitness value of information - is a composite of both the Shannon entropy and the decision-theoretic measure of information value. Furthermore, the Shannon entropy of the environment, which seemingly fails to take anything about Darwinian fitness into account, nonetheless imposes an upper bound on the fitness value of information.
Starting Page	50
Ending Page	54
File Size	387968
Page Count	5
File Format	PDF
ISBN	0780387201
DOI	10.1109/ITW.2004.1405273
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Biological information theory Evolution (biology) Organisms Biological systems Biological system modeling Mutual information Length measurement Costs Upper bound
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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