@inbook{276dae9ea12f4b94847efe142e087d72,
title = "An Information-Theoretic Approach for the Quantification of Relevance",
abstract = "We propose a concept for a Shannon-type quantification of information relevant to a decision unit or agent. The proposed measure is operational, can - at least in principle - be calculated for a given system and has an immediate interpretation as an information quantity. Its use as a natural framework for the study of sensor evolution is discussed.",
author = "Daniel Polani and Thomas Martinetz and Jan Kim",
note = "6th European Conference, ECAL 2001 Prague, Czech Republic, September 10–14, 2001 Proceedings",
year = "2008",
doi = "10.1007/3-540-44811-X_82",
language = "English",
volume = "2159",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin / Heidelberg",
pages = "704--713",
editor = "Jozef Kelemen and Petr Sos{\'i}k",
booktitle = "Advances in Artificial Life",
}