The aim of this paper is to show that the theory of (generalized) random systems with complete connection may serve as a mathematical framework for learning and adaption. Chapter 1 is of an introductory nature and gives a general description of the problems with which one is faced. In Chapter 2 the mathematical model and some results about it are explained. Chapter 3 deals with special learning and adaption models.
@article{urn:eudml:doc:40641,
title = {A mathematical framework for learning and adaption: (generalized) random systems with complete connections.},
journal = {Trabajos de Estad\'\i stica e Investigaci\'on Operativa},
volume = {32},
year = {1981},
pages = {116-129},
zbl = {0511.93060},
mrnumber = {MR0697193},
language = {en},
url = {http://dml.mathdoc.fr/item/urn:eudml:doc:40641}
}
Herkenrath, Ulrich; Theodorescu, Radu. A mathematical framework for learning and adaption: (generalized) random systems with complete connections.. Trabajos de Estadística e Investigación Operativa, Tome 32 (1981) pp. 116-129. http://gdmltest.u-ga.fr/item/urn:eudml:doc:40641/