Název:
Bayesian Entropic Evolution
Autoři:
Gottvald, Aleš Typ dokumentu: Příspěvky z konference Konference/Akce: Mendel 2000 /6./ - Soft Computing, Brno (CZ), 2000-06-07 / 2000-06-09
Rok:
2000
Jazyk:
eng
Abstrakt: We develop a quantitative and experimantally testable theory of evolution, based on Bayesian and Entropic concepts. Probability and information are given central roles in evolutionary processes. Substantial evidence is now available that all logically consistent probabilistic transformations, in evolutionary processes or elsewhere, obey fundamental laws of Bayesian Probability Theory. In particular, Bayes' Theorem and the maximum Entropy Principle imply many quantitative and testable consequences also in evolutionary processes, in full analogy with Statistical Mechanics. Every evolutionary process may be treated as a chain of Bayesian probabilistic interfereces from incomplete information. Only systems equipped with a Bayesian processing layer react most rationally to a changing information environment, which brings some evolutionary advantages. Číslo projektu: CEZ:AV0Z2065902 (CEP), ME 181 Poskytovatel projektu: GA MŠk Zdrojový dokument: Mendel 2000 - 6th International Conference on Soft Computing, ISBN 80-214-1609-2 Poznámka: Související webová stránka: mailto:gott@isibrno.cz
Instituce: Ústav přístrojové techniky AV ČR
(web)
Informace o dostupnosti dokumentu:
Dokument je dostupný v příslušném ústavu Akademie věd ČR. Původní záznam: http://hdl.handle.net/11104/0100970