DMCA
An Information-Theoretic Approach for the Quantification of Relevance (2001)
by
Daniel Polani
,
Thomas Martinetz
,
Jan Kim
| Venue: | IN ADVANCES IN ARTFICIAL LIFE (PROC. EUROPEAN CONF. ARTIFICIAL LIFE - ECAL’01), SPRINGER LNAI |
| Citations: | 25 - 16 self |
BibTeX
@INPROCEEDINGS{Polani01aninformation-theoretic,
author = {Daniel Polani and Thomas Martinetz and Jan Kim},
title = {An Information-Theoretic Approach for the Quantification of Relevance},
booktitle = {IN ADVANCES IN ARTFICIAL LIFE (PROC. EUROPEAN CONF. ARTIFICIAL LIFE - ECAL’01), SPRINGER LNAI},
year = {2001},
pages = {704--713},
publisher = {Springer}
}
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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.
