Information Theory Applied to Animal Communication Systems and Its Possible Application to SETI
| Autor: | Sean F. Hanser, Jon M. Jenkins, Laurance R. Doyle, Brenda McCowan |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Structure (mathematical logic)
Theoretical computer science 010504 meteorology & atmospheric sciences Zipf's law Computer science Complexity theory and organizations Communications system Information theory 01 natural sciences Plot (graphics) 0103 physical sciences Entropy (information theory) Communication complexity 010303 astronomy & astrophysics 0105 earth and related environmental sciences |
| Zdroj: | Symposium - International Astronomical Union. 213:514-518 |
| ISSN: | 0074-1809 |
| Popis: | Information theory, as first introduced by Claude Shannon (Shannon & Weaver 1949) quantitatively evaluates the organizational complexity of communication systems. At the same time George Zipf was examining linguistic structure in a way that was mathematically similar to the components of the Shannon first-order entropy (Zipf 1949). Both Shannon's and Zipf's mathematical procedures have been applied to animal communication and recently have been providing insightful results. The Zipf plot is a useful tool for a first estimate of the characterization of a communication system's complexity (which can later be examined for complex structure at deeper levels using Shannon entropic analysis). In this paper we shall discuss some of the applications and pitfalls of using the Zipf distribution as a preliminary evaluator of the communication complexity of a signaling system. |
| Databáze: | OpenAIRE |
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