Knowledge and its Representation in the Computer Era
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Knowledge and its Representation in the Computer Era
Annotation
PII
S023620070005953-5-
Publication type
Review
Status
Published
Authors
Sergei P. Kovalyov 
Occupation: Leading research fellow
Affiliation: RAS Institute of Control Sciences
Address: 65 Profsoyuznaya Str., Moscow 117997, Russian Federation
Andrei V. Rodin
Occupation: Senior research fellow
Affiliation: RAS Institute of Philosophy
Address: 12/1 Goncharnaya Str., Moscow 109240, Russian Federation
Pages
94-112
Abstract

Knowledge Representation (KR) is a research area at the borderline between Computer Science and Philosophical Epistemology. Technically KR can be described as a division of Artificial Intelligence focused on prospective information and communication technologies aiming at the efficient use of large data sets.  On the other hand, knowledge and its representation is a central theme of philosophical reflection and analysis; this remark concerns not only the traditional philosophy but also the Analytic philosophy of the 20th century, which essentially uses formal logical methods.  The participants discussed new epistemic practices made possible by new computer-based technologies of knowledge representation.

Keywords
knowledge representation, artificial intelligence, neural networks, ontologies, expert knowledge
Received
23.07.2019
Date of publication
30.07.2019
Number of purchasers
90
Views
1686
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0.0 (0 votes)
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S023620070005953-5-1 Дата внесения правок в статью - 23.07.2019
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References

1. Rodin A. Axiomatic Method and Category Theory (Synthese Library, vol. 364). Cham: Springer, 2014.

2. Szegedy Ch., Zaremba W., Ilya Sutskever, Bruna J., Erhan D., Goodfellow Ia., and Fergus R. Intriguing properties of neural networks, URL: /arxiv.org/abs/1312.6199 (last revised 19 Feb 2014).

3. Weisstein, E.W. Classification Theorem of Finite Groups. URL: http://mathworld.wolfram.com/ClassificationTheoremofFiniteGroups.html

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