Cognitive Information Processing In Space Physics And Astrophysics


Abstract

Professor Liszka discusses various information processing
techniques which have certain common characteristics: they
are all attempts to simulate the basic process of human
cognition. These techniques are particularly useful when
studying complex, multivariate processes in nature,
especially when they are non-linear. The first example of
such techniques are different types of neural networks,
which, in fact, were developed as analytical models of
human neurons. Secondly, wavelets techniques are similar
to the decomposition of information into parts of different
significance that takes place within human perception.
Thirdly, causal modelling is a technique similar to the
human ability to establish causal relations, i.e. to identify
what is cause and what is effect within phenomena in the
surrounding world. Introduction of these techniques into the
area of space physics and atrophysics opens new possibilities
for understanding the vast amount of information
collected in space experiments.

(Pachart Astronomy and Astrophysics Series Volume 13)

This book may be bought from IRF. Follow this link for instructions on how to proceed.

ISBN 0-88126-090-8

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