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Complexity-based evaluation of knowledge. Related and unrelated knowledge

Complexity-based evaluation of knowledge. Related and unrelated knowledge The paper reports on methods for the evaluation of complex structural knowledge based on the criterion of its complexity. This criterion is universal throughout knowledge branches with different social applications and is of fundamental importance for science and mankind as a whole, as it reflects in itself the basic value of humanity, i.e., intellectual potential. The notions of related and unrelated knowledge, as well aspects of their evaluation, are introduced. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

Complexity-based evaluation of knowledge. Related and unrelated knowledge

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Publisher
Springer Journals
Copyright
Copyright © 2007 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105507050044
Publisher site
See Article on Publisher Site

Abstract

The paper reports on methods for the evaluation of complex structural knowledge based on the criterion of its complexity. This criterion is universal throughout knowledge branches with different social applications and is of fundamental importance for science and mankind as a whole, as it reflects in itself the basic value of humanity, i.e., intellectual potential. The notions of related and unrelated knowledge, as well aspects of their evaluation, are introduced.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Dec 4, 2007

References